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: 0.0.3
Depends: R (≥ 2.10)
Imports: GSVAdata (≥ 1.22.0), clusterProfiler (≥ 3.14.3), 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: 2020-12-10
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
CRAN checks: RVA results

Downloads:

Reference manual: RVA.pdf
Vignettes: RNAseq Visualization Automation
Package source: RVA_0.0.3.tar.gz
Windows binaries: r-devel: RVA_0.0.3.zip, r-release: RVA_0.0.3.zip, r-oldrel: not available
macOS binaries: r-release: not available, r-oldrel: not available

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