-
Notifications
You must be signed in to change notification settings - Fork 12
/
DESCRIPTION
85 lines (85 loc) · 1.61 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
Package: scone
Version: 1.29.1
Title: Single Cell Overview of Normalized Expression data
Description: SCONE is an R package for comparing and ranking the performance of
different normalization schemes for single-cell RNA-seq and other
high-throughput analyses.
Authors@R: c(person("Michael", "Cole", email = "mbeloc@gmail.com",
role = c("aut", "cph")),
person("Davide", "Risso", email = "risso.davide@gmail.com",
role = c("aut", "cre", "cph")),
person("Matteo", "Borella",
email = "matteobor94@gmail.com",
role = "ctb"),
person("Chiara", "Romualdi", role = c("ctb"),
email = "chiara.romualdi@gmail.com"))
License: Artistic-2.0
Depends:
R (>= 3.4),
methods,
SummarizedExperiment
Imports:
graphics,
stats,
utils,
aroma.light,
BiocParallel,
class,
cluster,
compositions,
diptest,
edgeR,
fpc,
gplots,
grDevices,
hexbin,
limma,
matrixStats,
mixtools,
RColorBrewer,
boot,
rhdf5,
RUVSeq,
rARPACK,
MatrixGenerics,
SingleCellExperiment,
DelayedMatrixStats,
sparseMatrixStats
Suggests:
BiocStyle,
DT,
ggplot2,
knitr,
miniUI,
NMF,
plotly,
reshape2,
rmarkdown,
scran,
scRNAseq,
shiny,
testthat,
visNetwork,
doParallel,
batchtools,
splatter,
scater,
kableExtra,
mclust,
TENxPBMCData
VignetteBuilder: knitr
biocViews:
ImmunoOncology,
Normalization,
Preprocessing,
QualityControl,
GeneExpression,
RNASeq,
Software,
Transcriptomics,
Sequencing,
SingleCell,
Coverage
BugReports: https://github.com/YosefLab/scone/issues
RoxygenNote: 7.3.2
Encoding: UTF-8