HDStIM: High Dimensional Stimulation Immune Mapping
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Updated
Oct 5, 2023 - R
HDStIM: High Dimensional Stimulation Immune Mapping
Cytometry Biotechvana is a prototype of a Shiny application that allows an interactive workflow for flow cytometry data analysis.
Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image processing pipeline on top of Dask, a distributed computing framework written in Python. SCIP performs projection, illumination correction, image segmentation and masking, and feature extraction.
Pipeline for the analysis of single-cell familial data from multiplex clonal assay
Autogating for gate 1 and gate 2 with U-Net.
R scripts to use various flow cytometry analyses
Google Colab interface to HDStIM (High Dimensional Stimulation Immune Mapping)
Pipeline for flow cytometry anlaysis
PICAFlow: a complete R workflow dedicated to flow/mass cytometry data, from data pre-processing to deep and comprehensive analysis.
Spatially-resolved Transcriptomics via Epitope Anchoring
Cytometry analysis pipeline for large and complex datasets (CAPX) (beta)
A data-centric flow/mass cytometry automated analysis framework
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