1.2_Analysis_NMR_extractRealForbin0.02_and_PCA_Plot_scripts_MTBLS_03132020.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading required package: usethis\n",
      "\n",
      "Loading required package: ggplot2\n",
      "\n",
      "Loading required package: plyr\n",
      "\n",
      "Loading required package: scales\n",
      "\n",
      "Loading required package: grid\n",
      "\n"
     ]
    }
   ],
   "source": [
    "library(devtools)\n",
    "library(ggbiplot)\n",
    "library(stringr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Loading Init Data and define the header/column names that contain sample labels from MTBLS csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"assigned variables:\"\n",
      "[1] \"setwd_path\"\n",
      "[1] \"data_set_root_dir\"\n",
      "[1] \"path_to_fid\"\n",
      "[1] \"norm_bin_500_path\"\n",
      "[1] \"norm_bin_5000_path\"\n"
     ]
    }
   ],
   "source": [
    "# contents of the list would be user submitted\n",
    "sample_labels_header <- c('Factor_Value_Treatment', 'Factor_Value_Time_post_exposure_hr')\n",
    "labels_table <- read.csv(file=\"/Users/morris/Box/Hall_Lab/Projects/HUNA/MTBLS430/s_mtbls430.csv\",\n",
    "                   header=TRUE, sep=\",\", check.names=TRUE)\n",
    "huna_init <- read.csv('/Users/morris/Box/Hall_Lab/Projects/HUNA/MTBLS430/MTBLS430_init.csv',\n",
    "                      header=TRUE, check.names=FALSE)\n",
    "nrow <- nrow(huna_init)\n",
    "print('assigned variables:')\n",
    "for (i in 1:nrow){\n",
    "    assign(toString(huna_init$type[i]), toString(huna_init$path[i]))\n",
    "    print(toString(huna_init$type[i]))\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A data.frame: 150 × 16</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>X...Source.Name</th><th scope=col>Characteristics.Organism.</th><th scope=col>Term.Source.REF</th><th scope=col>Term.Accession.Number</th><th scope=col>Characteristics.Organism.part.</th><th scope=col>Term.Source.REF.1</th><th scope=col>Term.Accession.Number.1</th><th scope=col>Protocol.REF</th><th scope=col>Sample.Name</th><th scope=col>Factor_Value_Treatment</th><th scope=col>Term.Source.REF.2</th><th scope=col>Term.Accession.Number.2</th><th scope=col>Factor_Value_Time_post_exposure_hr</th><th scope=col>Unit</th><th scope=col>Term.Source.REF.3</th><th scope=col>Term.Accession.Number.3</th></tr>\n",
       "\t<tr><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;fct&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1301</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1302</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1303</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1304</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1305</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1306</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1307</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1308</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1309</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1310</td><td>E-NP-D nanoparticle  </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1401</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1402</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1403</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1404</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1405</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1406</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1407</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1408</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1409</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1410</td><td>E-NP-DT nanoparticle </td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1501</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1502</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1503</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1504</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1505</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1506</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1507</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1508</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1509</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>1510</td><td>E-NP-DTS nanoparticle</td><td>NA</td><td>NA</td><td>10</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3501</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3502</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3503</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3504</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3505</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3506</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3507</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3508</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3509</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3510</td><td>E-NP-DTS nanoparticle                                                              </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3201</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3202</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3203</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3204</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3205</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3206</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3207</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3208</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3209</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3210</td><td>methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine</td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3101</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3102</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3103</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3104</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3105</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3106</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3107</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3108</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3109</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "\t<tr><td>Cell aqueous extracts</td><td>Homo sapiens</td><td>NCBITAXON</td><td>http://purl.bioontology.org/ontology/NCBITAXON/9606</td><td>MCF-7 cell</td><td>BTO</td><td>http://purl.obolibrary.org/obo/BTO_0000093</td><td>Sample collection</td><td>3110</td><td>control                                                                            </td><td>NA</td><td>NA</td><td>36</td><td>hour</td><td>UO</td><td>http://purl.obolibrary.org/obo/UO_0000032</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A data.frame: 150 × 16\n",
       "\\begin{tabular}{r|llllllllllllllll}\n",
       " X...Source.Name & Characteristics.Organism. & Term.Source.REF & Term.Accession.Number & Characteristics.Organism.part. & Term.Source.REF.1 & Term.Accession.Number.1 & Protocol.REF & Sample.Name & Factor\\_Value\\_Treatment & Term.Source.REF.2 & Term.Accession.Number.2 & Factor\\_Value\\_Time\\_post\\_exposure\\_hr & Unit & Term.Source.REF.3 & Term.Accession.Number.3\\\\\n",
       " <fct> & <fct> & <fct> & <fct> & <fct> & <fct> & <fct> & <fct> & <int> & <fct> & <lgl> & <lgl> & <int> & <fct> & <fct> & <fct>\\\\\n",
       "\\hline\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1301 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1302 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1303 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1304 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1305 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1306 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1307 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1308 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1309 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1310 & E-NP-D nanoparticle   & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1401 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1402 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1403 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1404 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1405 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1406 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1407 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1408 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1409 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1410 & E-NP-DT nanoparticle  & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1501 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1502 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1503 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1504 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1505 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1506 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1507 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1508 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1509 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 1510 & E-NP-DTS nanoparticle & NA & NA & 10 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3501 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3502 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3503 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3504 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3505 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3506 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3507 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3508 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3509 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3510 & E-NP-DTS nanoparticle                                                               & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3201 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3202 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3203 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3204 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3205 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3206 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3207 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3208 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3209 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3210 & methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3101 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3102 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3103 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3104 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3105 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3106 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3107 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3108 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3109 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\t Cell aqueous extracts & Homo sapiens & NCBITAXON & http://purl.bioontology.org/ontology/NCBITAXON/9606 & MCF-7 cell & BTO & http://purl.obolibrary.org/obo/BTO\\_0000093 & Sample collection & 3110 & control                                                                             & NA & NA & 36 & hour & UO & http://purl.obolibrary.org/obo/UO\\_0000032\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A data.frame: 150 × 16\n",
       "\n",
       "| X...Source.Name &lt;fct&gt; | Characteristics.Organism. &lt;fct&gt; | Term.Source.REF &lt;fct&gt; | Term.Accession.Number &lt;fct&gt; | Characteristics.Organism.part. &lt;fct&gt; | Term.Source.REF.1 &lt;fct&gt; | Term.Accession.Number.1 &lt;fct&gt; | Protocol.REF &lt;fct&gt; | Sample.Name &lt;int&gt; | Factor_Value_Treatment &lt;fct&gt; | Term.Source.REF.2 &lt;lgl&gt; | Term.Accession.Number.2 &lt;lgl&gt; | Factor_Value_Time_post_exposure_hr &lt;int&gt; | Unit &lt;fct&gt; | Term.Source.REF.3 &lt;fct&gt; | Term.Accession.Number.3 &lt;fct&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1301 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1302 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1303 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1304 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1305 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1306 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1307 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1308 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1309 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1310 | E-NP-D nanoparticle   | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1401 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1402 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1403 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1404 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1405 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1406 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1407 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1408 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1409 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1410 | E-NP-DT nanoparticle  | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1501 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1502 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1503 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1504 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1505 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1506 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1507 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1508 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1509 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 1510 | E-NP-DTS nanoparticle | NA | NA | 10 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3501 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3502 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3503 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3504 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3505 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3506 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3507 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3508 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3509 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3510 | E-NP-DTS nanoparticle                                                               | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3201 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3202 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3203 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3204 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3205 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3206 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3207 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3208 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3209 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3210 | methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-<c5><92><c2><b5>-polylysine | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3101 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3102 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3103 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3104 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3105 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3106 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3107 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3108 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3109 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "| Cell aqueous extracts | Homo sapiens | NCBITAXON | http://purl.bioontology.org/ontology/NCBITAXON/9606 | MCF-7 cell | BTO | http://purl.obolibrary.org/obo/BTO_0000093 | Sample collection | 3110 | control                                                                             | NA | NA | 36 | hour | UO | http://purl.obolibrary.org/obo/UO_0000032 |\n",
       "\n"
      ],
      "text/plain": [
       "       X...Source.Name       Characteristics.Organism. Term.Source.REF\n",
       "1      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "2      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "3      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "4      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "5      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "6      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "7      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "8      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "9      Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "10     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "11     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "12     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "13     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "14     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "15     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "16     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "17     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "18     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "19     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "20     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "21     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "22     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "23     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "24     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "25     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "26     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "27     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "28     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "29     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "30     Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "<U+22EE> <U+22EE>              <U+22EE>                  <U+22EE>       \n",
       "121    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "122    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "123    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "124    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "125    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "126    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "127    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "128    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "129    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "130    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "131    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "132    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "133    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "134    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "135    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "136    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "137    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "138    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "139    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "140    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "141    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "142    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "143    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "144    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "145    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "146    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "147    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "148    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "149    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "150    Cell aqueous extracts Homo sapiens              NCBITAXON      \n",
       "       Term.Accession.Number                              \n",
       "1      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "2      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "3      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "4      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "5      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "6      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "7      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "8      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "9      http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "10     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "11     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "12     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "13     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "14     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "15     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "16     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "17     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "18     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "19     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "20     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "21     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "22     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "23     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "24     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "25     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "26     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "27     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "28     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "29     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "30     http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "<U+22EE> <U+22EE>                                           \n",
       "121    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "122    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "123    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "124    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "125    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "126    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "127    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "128    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "129    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "130    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "131    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "132    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "133    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "134    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "135    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "136    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "137    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "138    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "139    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "140    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "141    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "142    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "143    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "144    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "145    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "146    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "147    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "148    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "149    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "150    http://purl.bioontology.org/ontology/NCBITAXON/9606\n",
       "       Characteristics.Organism.part. Term.Source.REF.1\n",
       "1      MCF-7 cell                     BTO              \n",
       "2      MCF-7 cell                     BTO              \n",
       "3      MCF-7 cell                     BTO              \n",
       "4      MCF-7 cell                     BTO              \n",
       "5      MCF-7 cell                     BTO              \n",
       "6      MCF-7 cell                     BTO              \n",
       "7      MCF-7 cell                     BTO              \n",
       "8      MCF-7 cell                     BTO              \n",
       "9      MCF-7 cell                     BTO              \n",
       "10     MCF-7 cell                     BTO              \n",
       "11     MCF-7 cell                     BTO              \n",
       "12     MCF-7 cell                     BTO              \n",
       "13     MCF-7 cell                     BTO              \n",
       "14     MCF-7 cell                     BTO              \n",
       "15     MCF-7 cell                     BTO              \n",
       "16     MCF-7 cell                     BTO              \n",
       "17     MCF-7 cell                     BTO              \n",
       "18     MCF-7 cell                     BTO              \n",
       "19     MCF-7 cell                     BTO              \n",
       "20     MCF-7 cell                     BTO              \n",
       "21     MCF-7 cell                     BTO              \n",
       "22     MCF-7 cell                     BTO              \n",
       "23     MCF-7 cell                     BTO              \n",
       "24     MCF-7 cell                     BTO              \n",
       "25     MCF-7 cell                     BTO              \n",
       "26     MCF-7 cell                     BTO              \n",
       "27     MCF-7 cell                     BTO              \n",
       "28     MCF-7 cell                     BTO              \n",
       "29     MCF-7 cell                     BTO              \n",
       "30     MCF-7 cell                     BTO              \n",
       "<U+22EE> <U+22EE>                       <U+22EE>         \n",
       "121    MCF-7 cell                     BTO              \n",
       "122    MCF-7 cell                     BTO              \n",
       "123    MCF-7 cell                     BTO              \n",
       "124    MCF-7 cell                     BTO              \n",
       "125    MCF-7 cell                     BTO              \n",
       "126    MCF-7 cell                     BTO              \n",
       "127    MCF-7 cell                     BTO              \n",
       "128    MCF-7 cell                     BTO              \n",
       "129    MCF-7 cell                     BTO              \n",
       "130    MCF-7 cell                     BTO              \n",
       "131    MCF-7 cell                     BTO              \n",
       "132    MCF-7 cell                     BTO              \n",
       "133    MCF-7 cell                     BTO              \n",
       "134    MCF-7 cell                     BTO              \n",
       "135    MCF-7 cell                     BTO              \n",
       "136    MCF-7 cell                     BTO              \n",
       "137    MCF-7 cell                     BTO              \n",
       "138    MCF-7 cell                     BTO              \n",
       "139    MCF-7 cell                     BTO              \n",
       "140    MCF-7 cell                     BTO              \n",
       "141    MCF-7 cell                     BTO              \n",
       "142    MCF-7 cell                     BTO              \n",
       "143    MCF-7 cell                     BTO              \n",
       "144    MCF-7 cell                     BTO              \n",
       "145    MCF-7 cell                     BTO              \n",
       "146    MCF-7 cell                     BTO              \n",
       "147    MCF-7 cell                     BTO              \n",
       "148    MCF-7 cell                     BTO              \n",
       "149    MCF-7 cell                     BTO              \n",
       "150    MCF-7 cell                     BTO              \n",
       "       Term.Accession.Number.1                    Protocol.REF      Sample.Name\n",
       "1      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1301       \n",
       "2      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1302       \n",
       "3      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1303       \n",
       "4      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1304       \n",
       "5      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1305       \n",
       "6      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1306       \n",
       "7      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1307       \n",
       "8      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1308       \n",
       "9      http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1309       \n",
       "10     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1310       \n",
       "11     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1401       \n",
       "12     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1402       \n",
       "13     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1403       \n",
       "14     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1404       \n",
       "15     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1405       \n",
       "16     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1406       \n",
       "17     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1407       \n",
       "18     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1408       \n",
       "19     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1409       \n",
       "20     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1410       \n",
       "21     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1501       \n",
       "22     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1502       \n",
       "23     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1503       \n",
       "24     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1504       \n",
       "25     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1505       \n",
       "26     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1506       \n",
       "27     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1507       \n",
       "28     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1508       \n",
       "29     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1509       \n",
       "30     http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 1510       \n",
       "<U+22EE> <U+22EE>                                   <U+22EE>          <U+22EE>   \n",
       "121    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3501       \n",
       "122    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3502       \n",
       "123    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3503       \n",
       "124    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3504       \n",
       "125    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3505       \n",
       "126    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3506       \n",
       "127    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3507       \n",
       "128    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3508       \n",
       "129    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3509       \n",
       "130    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3510       \n",
       "131    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3201       \n",
       "132    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3202       \n",
       "133    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3203       \n",
       "134    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3204       \n",
       "135    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3205       \n",
       "136    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3206       \n",
       "137    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3207       \n",
       "138    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3208       \n",
       "139    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3209       \n",
       "140    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3210       \n",
       "141    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3101       \n",
       "142    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3102       \n",
       "143    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3103       \n",
       "144    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3104       \n",
       "145    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3105       \n",
       "146    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3106       \n",
       "147    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3107       \n",
       "148    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3108       \n",
       "149    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3109       \n",
       "150    http://purl.obolibrary.org/obo/BTO_0000093 Sample collection 3110       \n",
       "       Factor_Value_Treatment                                                             \n",
       "1      E-NP-D nanoparticle                                                                \n",
       "2      E-NP-D nanoparticle                                                                \n",
       "3      E-NP-D nanoparticle                                                                \n",
       "4      E-NP-D nanoparticle                                                                \n",
       "5      E-NP-D nanoparticle                                                                \n",
       "6      E-NP-D nanoparticle                                                                \n",
       "7      E-NP-D nanoparticle                                                                \n",
       "8      E-NP-D nanoparticle                                                                \n",
       "9      E-NP-D nanoparticle                                                                \n",
       "10     E-NP-D nanoparticle                                                                \n",
       "11     E-NP-DT nanoparticle                                                               \n",
       "12     E-NP-DT nanoparticle                                                               \n",
       "13     E-NP-DT nanoparticle                                                               \n",
       "14     E-NP-DT nanoparticle                                                               \n",
       "15     E-NP-DT nanoparticle                                                               \n",
       "16     E-NP-DT nanoparticle                                                               \n",
       "17     E-NP-DT nanoparticle                                                               \n",
       "18     E-NP-DT nanoparticle                                                               \n",
       "19     E-NP-DT nanoparticle                                                               \n",
       "20     E-NP-DT nanoparticle                                                               \n",
       "21     E-NP-DTS nanoparticle                                                              \n",
       "22     E-NP-DTS nanoparticle                                                              \n",
       "23     E-NP-DTS nanoparticle                                                              \n",
       "24     E-NP-DTS nanoparticle                                                              \n",
       "25     E-NP-DTS nanoparticle                                                              \n",
       "26     E-NP-DTS nanoparticle                                                              \n",
       "27     E-NP-DTS nanoparticle                                                              \n",
       "28     E-NP-DTS nanoparticle                                                              \n",
       "29     E-NP-DTS nanoparticle                                                              \n",
       "30     E-NP-DTS nanoparticle                                                              \n",
       "<U+22EE> <U+22EE>                                                                           \n",
       "121    E-NP-DTS nanoparticle                                                              \n",
       "122    E-NP-DTS nanoparticle                                                              \n",
       "123    E-NP-DTS nanoparticle                                                              \n",
       "124    E-NP-DTS nanoparticle                                                              \n",
       "125    E-NP-DTS nanoparticle                                                              \n",
       "126    E-NP-DTS nanoparticle                                                              \n",
       "127    E-NP-DTS nanoparticle                                                              \n",
       "128    E-NP-DTS nanoparticle                                                              \n",
       "129    E-NP-DTS nanoparticle                                                              \n",
       "130    E-NP-DTS nanoparticle                                                              \n",
       "131    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "132    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "133    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "134    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "135    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "136    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "137    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "138    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "139    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "140    methoxypoly(ethylene glycol)-poly(lactide-co-glycolide)-\\305\\222\\302\\265-polylysine\n",
       "141    control                                                                            \n",
       "142    control                                                                            \n",
       "143    control                                                                            \n",
       "144    control                                                                            \n",
       "145    control                                                                            \n",
       "146    control                                                                            \n",
       "147    control                                                                            \n",
       "148    control                                                                            \n",
       "149    control                                                                            \n",
       "150    control                                                                            \n",
       "       Term.Source.REF.2 Term.Accession.Number.2\n",
       "1      NA                NA                     \n",
       "2      NA                NA                     \n",
       "3      NA                NA                     \n",
       "4      NA                NA                     \n",
       "5      NA                NA                     \n",
       "6      NA                NA                     \n",
       "7      NA                NA                     \n",
       "8      NA                NA                     \n",
       "9      NA                NA                     \n",
       "10     NA                NA                     \n",
       "11     NA                NA                     \n",
       "12     NA                NA                     \n",
       "13     NA                NA                     \n",
       "14     NA                NA                     \n",
       "15     NA                NA                     \n",
       "16     NA                NA                     \n",
       "17     NA                NA                     \n",
       "18     NA                NA                     \n",
       "19     NA                NA                     \n",
       "20     NA                NA                     \n",
       "21     NA                NA                     \n",
       "22     NA                NA                     \n",
       "23     NA                NA                     \n",
       "24     NA                NA                     \n",
       "25     NA                NA                     \n",
       "26     NA                NA                     \n",
       "27     NA                NA                     \n",
       "28     NA                NA                     \n",
       "29     NA                NA                     \n",
       "30     NA                NA                     \n",
       "<U+22EE> <U+22EE>          <U+22EE>               \n",
       "121    NA                NA                     \n",
       "122    NA                NA                     \n",
       "123    NA                NA                     \n",
       "124    NA                NA                     \n",
       "125    NA                NA                     \n",
       "126    NA                NA                     \n",
       "127    NA                NA                     \n",
       "128    NA                NA                     \n",
       "129    NA                NA                     \n",
       "130    NA                NA                     \n",
       "131    NA                NA                     \n",
       "132    NA                NA                     \n",
       "133    NA                NA                     \n",
       "134    NA                NA                     \n",
       "135    NA                NA                     \n",
       "136    NA                NA                     \n",
       "137    NA                NA                     \n",
       "138    NA                NA                     \n",
       "139    NA                NA                     \n",
       "140    NA                NA                     \n",
       "141    NA                NA                     \n",
       "142    NA                NA                     \n",
       "143    NA                NA                     \n",
       "144    NA                NA                     \n",
       "145    NA                NA                     \n",
       "146    NA                NA                     \n",
       "147    NA                NA                     \n",
       "148    NA                NA                     \n",
       "149    NA                NA                     \n",
       "150    NA                NA                     \n",
       "       Factor_Value_Time_post_exposure_hr Unit   Term.Source.REF.3\n",
       "1      10                                 hour   UO               \n",
       "2      10                                 hour   UO               \n",
       "3      10                                 hour   UO               \n",
       "4      10                                 hour   UO               \n",
       "5      10                                 hour   UO               \n",
       "6      10                                 hour   UO               \n",
       "7      10                                 hour   UO               \n",
       "8      10                                 hour   UO               \n",
       "9      10                                 hour   UO               \n",
       "10     10                                 hour   UO               \n",
       "11     10                                 hour   UO               \n",
       "12     10                                 hour   UO               \n",
       "13     10                                 hour   UO               \n",
       "14     10                                 hour   UO               \n",
       "15     10                                 hour   UO               \n",
       "16     10                                 hour   UO               \n",
       "17     10                                 hour   UO               \n",
       "18     10                                 hour   UO               \n",
       "19     10                                 hour   UO               \n",
       "20     10                                 hour   UO               \n",
       "21     10                                 hour   UO               \n",
       "22     10                                 hour   UO               \n",
       "23     10                                 hour   UO               \n",
       "24     10                                 hour   UO               \n",
       "25     10                                 hour   UO               \n",
       "26     10                                 hour   UO               \n",
       "27     10                                 hour   UO               \n",
       "28     10                                 hour   UO               \n",
       "29     10                                 hour   UO               \n",
       "30     10                                 hour   UO               \n",
       "<U+22EE> <U+22EE>                           <U+22EE> <U+22EE>         \n",
       "121    36                                 hour   UO               \n",
       "122    36                                 hour   UO               \n",
       "123    36                                 hour   UO               \n",
       "124    36                                 hour   UO               \n",
       "125    36                                 hour   UO               \n",
       "126    36                                 hour   UO               \n",
       "127    36                                 hour   UO               \n",
       "128    36                                 hour   UO               \n",
       "129    36                                 hour   UO               \n",
       "130    36                                 hour   UO               \n",
       "131    36                                 hour   UO               \n",
       "132    36                                 hour   UO               \n",
       "133    36                                 hour   UO               \n",
       "134    36                                 hour   UO               \n",
       "135    36                                 hour   UO               \n",
       "136    36                                 hour   UO               \n",
       "137    36                                 hour   UO               \n",
       "138    36                                 hour   UO               \n",
       "139    36                                 hour   UO               \n",
       "140    36                                 hour   UO               \n",
       "141    36                                 hour   UO               \n",
       "142    36                                 hour   UO               \n",
       "143    36                                 hour   UO               \n",
       "144    36                                 hour   UO               \n",
       "145    36                                 hour   UO               \n",
       "146    36                                 hour   UO               \n",
       "147    36                                 hour   UO               \n",
       "148    36                                 hour   UO               \n",
       "149    36                                 hour   UO               \n",
       "150    36                                 hour   UO               \n",
       "       Term.Accession.Number.3                  \n",
       "1      http://purl.obolibrary.org/obo/UO_0000032\n",
       "2      http://purl.obolibrary.org/obo/UO_0000032\n",
       "3      http://purl.obolibrary.org/obo/UO_0000032\n",
       "4      http://purl.obolibrary.org/obo/UO_0000032\n",
       "5      http://purl.obolibrary.org/obo/UO_0000032\n",
       "6      http://purl.obolibrary.org/obo/UO_0000032\n",
       "7      http://purl.obolibrary.org/obo/UO_0000032\n",
       "8      http://purl.obolibrary.org/obo/UO_0000032\n",
       "9      http://purl.obolibrary.org/obo/UO_0000032\n",
       "10     http://purl.obolibrary.org/obo/UO_0000032\n",
       "11     http://purl.obolibrary.org/obo/UO_0000032\n",
       "12     http://purl.obolibrary.org/obo/UO_0000032\n",
       "13     http://purl.obolibrary.org/obo/UO_0000032\n",
       "14     http://purl.obolibrary.org/obo/UO_0000032\n",
       "15     http://purl.obolibrary.org/obo/UO_0000032\n",
       "16     http://purl.obolibrary.org/obo/UO_0000032\n",
       "17     http://purl.obolibrary.org/obo/UO_0000032\n",
       "18     http://purl.obolibrary.org/obo/UO_0000032\n",
       "19     http://purl.obolibrary.org/obo/UO_0000032\n",
       "20     http://purl.obolibrary.org/obo/UO_0000032\n",
       "21     http://purl.obolibrary.org/obo/UO_0000032\n",
       "22     http://purl.obolibrary.org/obo/UO_0000032\n",
       "23     http://purl.obolibrary.org/obo/UO_0000032\n",
       "24     http://purl.obolibrary.org/obo/UO_0000032\n",
       "25     http://purl.obolibrary.org/obo/UO_0000032\n",
       "26     http://purl.obolibrary.org/obo/UO_0000032\n",
       "27     http://purl.obolibrary.org/obo/UO_0000032\n",
       "28     http://purl.obolibrary.org/obo/UO_0000032\n",
       "29     http://purl.obolibrary.org/obo/UO_0000032\n",
       "30     http://purl.obolibrary.org/obo/UO_0000032\n",
       "<U+22EE> <U+22EE>                                 \n",
       "121    http://purl.obolibrary.org/obo/UO_0000032\n",
       "122    http://purl.obolibrary.org/obo/UO_0000032\n",
       "123    http://purl.obolibrary.org/obo/UO_0000032\n",
       "124    http://purl.obolibrary.org/obo/UO_0000032\n",
       "125    http://purl.obolibrary.org/obo/UO_0000032\n",
       "126    http://purl.obolibrary.org/obo/UO_0000032\n",
       "127    http://purl.obolibrary.org/obo/UO_0000032\n",
       "128    http://purl.obolibrary.org/obo/UO_0000032\n",
       "129    http://purl.obolibrary.org/obo/UO_0000032\n",
       "130    http://purl.obolibrary.org/obo/UO_0000032\n",
       "131    http://purl.obolibrary.org/obo/UO_0000032\n",
       "132    http://purl.obolibrary.org/obo/UO_0000032\n",
       "133    http://purl.obolibrary.org/obo/UO_0000032\n",
       "134    http://purl.obolibrary.org/obo/UO_0000032\n",
       "135    http://purl.obolibrary.org/obo/UO_0000032\n",
       "136    http://purl.obolibrary.org/obo/UO_0000032\n",
       "137    http://purl.obolibrary.org/obo/UO_0000032\n",
       "138    http://purl.obolibrary.org/obo/UO_0000032\n",
       "139    http://purl.obolibrary.org/obo/UO_0000032\n",
       "140    http://purl.obolibrary.org/obo/UO_0000032\n",
       "141    http://purl.obolibrary.org/obo/UO_0000032\n",
       "142    http://purl.obolibrary.org/obo/UO_0000032\n",
       "143    http://purl.obolibrary.org/obo/UO_0000032\n",
       "144    http://purl.obolibrary.org/obo/UO_0000032\n",
       "145    http://purl.obolibrary.org/obo/UO_0000032\n",
       "146    http://purl.obolibrary.org/obo/UO_0000032\n",
       "147    http://purl.obolibrary.org/obo/UO_0000032\n",
       "148    http://purl.obolibrary.org/obo/UO_0000032\n",
       "149    http://purl.obolibrary.org/obo/UO_0000032\n",
       "150    http://purl.obolibrary.org/obo/UO_0000032"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "MTBLS_bin500 <- read.csv(file=norm_bin_500_path, header=TRUE, sep=\",\")\n",
    "MTBLS_bin5000 <- read.csv(file=norm_bin_5000_path, header=TRUE, sep=\",\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extract real numbers\n",
    "MTBLS_bin500_Re_apply <- apply(MTBLS_bin500[, c(2:(ncol(MTBLS_bin500)))],2, Re)\n",
    "# adding back the sample name column\n",
    "MTBLS_bin500_Re_apply <- cbind(MTBLS_bin500['X'], MTBLS_bin500_Re_apply)\n",
    "\n",
    "MTBLS_bin5000_Re_apply <- apply(MTBLS_bin5000[, c(2:(ncol(MTBLS_bin5000)))],2, Re)\n",
    "MTBLS_bin5000_Re_apply <- cbind(MTBLS_bin5000['X'], MTBLS_bin5000_Re_apply)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Identify the columns that contain zeros and its composition of zeros in %. Zero columns result\n",
    "# in PCA errors\n",
    "MTBLS_bin500_Re_apply_DelZeroCol <- MTBLS_bin500_Re_apply[, colSums(MTBLS_bin500_Re_apply != 0) > 0]\n",
    "\n",
    "MTBLS_bin5000_Re_apply_DelZeroCol <- MTBLS_bin5000_Re_apply[, colSums(MTBLS_bin5000_Re_apply != 0) > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating path for the bin500 data to be used when finding significant bins.\n",
    "bin500_for_sig_tests <- paste(setwd_path,data_set_root_dir, '/output/',\n",
    "                              data_set_root_dir, '_bin500_for_sig_tests.csv',sep='')\n",
    "\n",
    "huna_init <- rbind(huna_init, data.frame(type = \"bin500_for_sig_tests\",\n",
    "                                         path = bin500_for_sig_tests))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] 10\n",
      "[1] \"col index:  10 row index:  41\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  42\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  43\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  44\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  45\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  46\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  47\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  48\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  49\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  50\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  31\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  32\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  33\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  34\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  35\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  36\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  37\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  38\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  39\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  40\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  1\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  2\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  3\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  4\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  5\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  6\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  7\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  8\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  9\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  10\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  11\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  12\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  13\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  14\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  15\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  16\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  17\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  18\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  19\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  20\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  21\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  22\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  23\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  24\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  25\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  26\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  27\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  28\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  29\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  30\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  91\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  92\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  93\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  94\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  95\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  96\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  97\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  98\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  99\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  100\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  81\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  82\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  83\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  84\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  85\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  86\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  87\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  88\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  89\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  90\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  51\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  52\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  53\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  54\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  55\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  56\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  57\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  58\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  59\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  60\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  61\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  62\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  63\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  64\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  65\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  66\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  67\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  68\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  69\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  70\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  71\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  72\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  73\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  74\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  75\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  76\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  77\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  78\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  79\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  80\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  141\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  142\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  143\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  144\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  145\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  146\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  147\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  148\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  149\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  150\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  131\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  132\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  133\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  134\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  135\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  136\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  137\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  138\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  139\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  140\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  101\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  102\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  103\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  104\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  105\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  106\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  107\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  108\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  109\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  110\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  111\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  112\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  113\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  114\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  115\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  116\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  117\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  118\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  119\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  120\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  121\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  122\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  123\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  124\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  125\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  126\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  127\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  128\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  129\"\n",
      "[1] 10\n",
      "[1] \"col index:  10 row index:  130\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  41\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  42\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  43\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  44\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  45\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  46\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  47\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  48\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  49\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  50\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  31\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  32\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  33\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  34\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  35\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  36\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  37\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  38\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  39\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  40\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  1\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  2\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  3\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  4\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  5\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  6\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  7\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  8\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  9\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  10\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  11\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  12\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  13\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  14\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  15\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  16\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  17\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  18\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  19\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  20\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  21\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  22\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  23\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  24\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  25\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  26\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  27\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  28\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  29\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  30\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  91\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  92\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  93\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  94\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  95\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  96\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  97\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  98\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  99\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  100\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  81\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  82\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  83\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  84\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  85\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  86\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  87\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  88\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  89\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  90\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  51\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  52\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  53\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  54\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  55\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  56\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  57\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  58\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  59\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  60\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  61\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  62\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  63\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  64\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  65\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  66\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  67\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  68\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  69\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  70\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  71\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  72\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  73\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  74\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  75\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  76\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  77\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  78\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  79\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  80\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  141\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  142\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  143\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  144\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  145\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  146\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  147\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  148\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  149\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  150\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  131\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  132\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  133\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  134\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  135\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  136\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  137\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  138\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  139\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  140\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  101\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  102\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  103\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  104\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  105\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  106\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  107\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  108\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  109\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  110\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  111\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  112\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  113\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  114\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  115\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  116\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  117\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  118\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  119\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  120\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  121\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  122\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  123\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  124\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  125\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  126\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  127\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  128\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  129\"\n",
      "[1] 13\n",
      "[1] \"col index:  13 row index:  130\"\n"
     ]
    }
   ],
   "source": [
    "# adding labels to the MTBLS data to generate a PCA plot\n",
    "for (col in sample_labels_header){\n",
    "    col_to_add <- c()\n",
    "    for (i in 1:nrow(MTBLS_bin500_Re_apply_DelZeroCol)){\n",
    "        # obtain ID of the sample from binning data\n",
    "        sample_ID <- as.character(MTBLS_bin500_Re_apply_DelZeroCol[i,1]) \n",
    "        #print(paste('sample ID: ',sample_ID))\n",
    "        # cross reference where the ID is found in the label table and query the row index\n",
    "        row_index <- (which(grepl(sample_ID, labels_table$Sample.Name)))\n",
    "        col_index <- (grep(col, colnames(labels_table)))\n",
    "        print(col_index)\n",
    "        col_content <- as.character(labels_table[row_index,col_index])\n",
    "        print(paste('col index: ', col_index, 'row index: ', row_index))\n",
    "        col_to_add <- c(col_to_add, col_content)\n",
    "    }\n",
    "    MTBLS_bin500_Re_apply_DelZeroCol[col] <- col_to_add\n",
    "}\n",
    "write.csv(MTBLS_bin500_Re_apply_DelZeroCol, file= bin500_for_sig_tests, row.names=FALSE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### MTBLS PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate PCA all cols excluding the sample name and sample labels\n",
    "MTBLS.pca <- prcomp(MTBLS_bin500_Re_apply_DelZeroCol\n",
    "                     [,c(2:(ncol(MTBLS_bin500_Re_apply_DelZeroCol)-length(sample_labels_header)))],\n",
    "                     center = TRUE, scale. = FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating the path and appending path to huna init csv for the outputed figures\n",
    "figure_path <- (paste(setwd_path,data_set_root_dir, '/output/figures/',sep=''))\n",
    "\n",
    "huna_init <- rbind(huna_init, data.frame(type = \"figure_path\", path = figure_path))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# appending the user defined list of sample label columns into the init csv file\n",
    "# collapsed list separated by a space\n",
    "sample_labels_header_string <- (paste(unlist(sample_labels_header), collapse=' '))\n",
    "huna_init <- rbind(huna_init, data.frame(type = \"sample_labels_header\",\n",
    "                                         path = sample_labels_header_string))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# saving the updated the huna init csv file\n",
    "save <- (paste(setwd_path,'/',data_set_root_dir, '/', data_set_root_dir, '_init.csv', sep=''))\n",
    "write.csv(huna_init, file= save, row.names=FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Saving 7 x 7 in image\n",
      "\n",
      "Saving 7 x 7 in image\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAIAAAByhViMAAAABmJLR0QA/wD/AP+gvaeTAAAg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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      },
      "text/plain": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for (col in sample_labels_header){\n",
    "    col_index <- (grep(col, colnames(MTBLS_bin500_Re_apply_DelZeroCol)))\n",
    "    print(ggbiplot(MTBLS.pca, ellipse=TRUE, var.axes=FALSE,\n",
    "         groups=MTBLS_bin500_Re_apply_DelZeroCol[,col_index]))\n",
    "    filename <- paste(figure_path, col, 'pca_plot.png')\n",
    "    ggsave(filename, plot = last_plot(), dpi = 'retina')\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}