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>
License: GPL-2
NeedsCompilation: no
CRAN checks: scRNAtools results


Reference manual: scRNAtools.pdf
Package source: scRNAtools_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: not available, r-oldrel: not available


Please use the canonical form to link to this page.