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author | Ricardo Wurmus <rekado@elephly.net> | 2019-03-27 15:45:30 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-03-27 16:17:20 +0100 |
commit | 9c30cf65d2b2f1f529f9e7dc4ea58e14b3035f9e (patch) | |
tree | c7bd87985be4ecb1078e683943b110d483cdedd1 /gnu | |
parent | 305050b56d5df003f986cbca5fedb4b9b5cd45bb (diff) | |
download | patches-9c30cf65d2b2f1f529f9e7dc4ea58e14b3035f9e.tar patches-9c30cf65d2b2f1f529f9e7dc4ea58e14b3035f9e.tar.gz |
gnu: Add r-enrichplot.
* gnu/packages/bioconductor.scm (r-enrichplot): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/bioconductor.scm | 36 |
1 files changed, 36 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 0c7be1c7d5..098cee8100 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -2813,3 +2813,39 @@ including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data.") (license license:artistic2.0))) + +(define-public r-enrichplot + (package + (name "r-enrichplot") + (version "1.2.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "enrichplot" version)) + (sha256 + (base32 + "0cxqfpy6py4k3z3lnlkiwx89r4ymfpdc4hm25dfpazqgjflz5is7")))) + (build-system r-build-system) + (propagated-inputs + `(("r-annotationdbi" ,r-annotationdbi) + ("r-cowplot" ,r-cowplot) + ("r-dose" ,r-dose) + ("r-europepmc" ,r-europepmc) + ("r-ggplot2" ,r-ggplot2) + ("r-ggplotify" ,r-ggplotify) + ("r-ggraph" ,r-ggraph) + ("r-ggridges" ,r-ggridges) + ("r-gosemsim" ,r-gosemsim) + ("r-gridextra" ,r-gridextra) + ("r-igraph" ,r-igraph) + ("r-purrr" ,r-purrr) + ("r-rcolorbrewer" ,r-rcolorbrewer) + ("r-reshape2" ,r-reshape2) + ("r-upsetr" ,r-upsetr))) + (home-page "https://github.com/GuangchuangYu/enrichplot") + (synopsis "Visualization of functional enrichment result") + (description + "The enrichplot package implements several visualization methods for +interpreting functional enrichment results obtained from ORA or GSEA analyses. +All the visualization methods are developed based on ggplot2 graphics.") + (license license:artistic2.0))) |