scRNAtools: Single Cell RNA Sequencing Data Analysis Tools

We integrated the common analysis methods utilized in single cell RNA sequencing data, which included cluster method, principal components analysis (PCA), the filter of differentially expressed genes, pathway enrichment analysis and correlated analysis methods.

Version:	1.0
Depends:	R (≥ 2.10), foreach, base
Imports:	ALL, ConsensusClusterPlus, scatterplot3d, ggplot2, Rtsne, limma, edgeR, TPEA, Rmisc, lattice, plyr, ggthemes, reshape2, PerformanceAnalytics, corrplot, Hmisc, igraph, survival
Suggests:	grid
Published:	2018-07-05
Author:	Qian Yang
Maintainer:	Qian Yang <bioqianyang at 163.com>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	scRNAtools results

Documentation:

Reference manual:

scRNAtools.pdf

Downloads:

Package source:	scRNAtools_1.0.tar.gz
Windows binaries:	r-devel: scRNAtools_1.0.zip, r-release: scRNAtools_1.0.zip, r-oldrel: scRNAtools_1.0.zip
macOS binaries:	r-release (arm64): scRNAtools_1.0.tgz, r-oldrel (arm64): scRNAtools_1.0.tgz, r-release (x86_64): scRNAtools_1.0.tgz, r-oldrel (x86_64): scRNAtools_1.0.tgz

Linking:

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