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| author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2022-08-22 12:59:41 +0200 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2022-08-23 11:43:20 +0200 |
| commit | f6bcde85a6d227ddf492dd89f7e79ef2835cb228 (patch) | |
| tree | 40d3e80734e52307ec5ad65844e6815c5068cbdd /gnu | |
| parent | 6c21c9fab1079e445e9ea2d23c007247fdac1199 (diff) | |
| download | guix-f6bcde85a6d227ddf492dd89f7e79ef2835cb228.tar.gz | |
gnu: Add r-pcaexplorer.
* gnu/packages/bioconductor.scm (r-pcaexplorer): New variable.
Diffstat (limited to 'gnu')
| -rw-r--r-- | gnu/packages/bioconductor.scm | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index b4f880a080..55b0024171 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -5073,6 +5073,61 @@ annotation packages each of which has its own schema by taking advantage of the fact that each of these packages implements a select methods.") (license license:artistic2.0))) +(define-public r-pcaexplorer + (package + (name "r-pcaexplorer") + (version "2.22.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "pcaExplorer" version)) + (sha256 + (base32 + "0xkafpi6y5n8hljdaj183hd5z4ik7lpbklg2cbx1hwfz4n4hh1bl")))) + (properties `((upstream-name . "pcaExplorer"))) + (build-system r-build-system) + (propagated-inputs + (list r-annotationdbi + r-base64enc + r-biomart + r-deseq2 + r-dt + r-genefilter + r-genomicranges + r-ggplot2 + r-ggrepel + r-go-db + r-gostats + r-heatmaply + r-iranges + r-knitr + r-limma + r-nmf + r-pheatmap + r-plotly + r-plyr + r-rmarkdown + r-s4vectors + r-scales + r-shiny + r-shinyace + r-shinybs + r-shinydashboard + r-summarizedexperiment + r-threejs + r-tidyr + r-topgo)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/federicomarini/pcaExplorer") + (synopsis + "Interactive Visualization of RNA-seq Data Using a Principal Components Approach") + (description + "This package provides functionality for interactive visualization of RNA-seq +datasets based on Principal Components Analysis. The methods provided allow for +quick information extraction and effective data exploration. A Shiny +application encapsulates the whole analysis.") + (license license:expat))) + (define-public r-pcamethods (package (name "r-pcamethods") |