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RVA: RNAseq Visualization Automation

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 ORCID iD [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

Documentation:

Reference manual: RVA.pdf
Vignettes: RNAseq Visualization Automation

Downloads:

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

Linking:

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.