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Automate downstream visualization & pathway analysis in RNAseq analysis. 'RVA' is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.
Version: | 0.0.5 |
Depends: | R (≥ 2.10) |
Imports: | GSVAdata (≥ 1.22.0), clusterProfiler (≥ 3.15.1), data.table (≥ 1.12.8), edgeR (≥ 3.28.1), org.Hs.eg.db (≥ 3.10.0), ComplexHeatmap (≥ 2.2.0), GSEABase (≥ 1.48.0), circlize (≥ 0.4.10), dplyr (≥ 1.0.0), ggplot2 (≥ 3.3.2), ggpubr (≥ 0.4.0), grid (≥ 3.6.1), gridExtra (≥ 2.3), haven (≥ 2.3.1), msigdbr (≥ 7.1.1), plotly (≥ 4.9.2.1), purrr (≥ 0.3.4), rWikiPathways (≥ 1.6.1), stringr (≥ 1.4.0), tibble, tidyr (≥ 1.1.0), XML, rlang |
Suggests: | knitr, rmarkdown |
Published: | 2021-11-01 |
DOI: | 10.32614/CRAN.package.RVA |
Author: | Xingpeng Li [aut, cre] |
Maintainer: | Xingpeng Li <xingpeng.li at pfizer.com> |
License: | GPL-2 |
URL: | https://github.com/THERMOSTATS/RVA |
NeedsCompilation: | no |
Materials: | README |
In views: | Omics |
CRAN checks: | RVA results |
Reference manual: | RVA.pdf |
Vignettes: |
RNAseq Visualization Automation |
Package source: | RVA_0.0.5.tar.gz |
Windows binaries: | r-devel: RVA_0.0.5.zip, r-release: RVA_0.0.5.zip, r-oldrel: RVA_0.0.5.zip |
macOS binaries: | r-release (arm64): RVA_0.0.5.tgz, r-oldrel (arm64): not available, r-release (x86_64): RVA_0.0.5.tgz, r-oldrel (x86_64): not available |
Old sources: | RVA archive |
Please use the canonical form https://CRAN.R-project.org/package=RVA 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.