The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| 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.
Health stats visible at Monitor.