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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 |
| DOI: | 10.32614/CRAN.package.scRNAtools |
| Author: | Qian Yang |
| Maintainer: | Qian Yang <bioqianyang at 163.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | scRNAtools results |
| Reference manual: | scRNAtools.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=scRNAtools to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.