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authorRicardo Wurmus <rekado@elephly.net>2019-09-15 22:57:47 +0200
committerRicardo Wurmus <rekado@elephly.net>2019-09-15 22:57:47 +0200
commitd80a15696bf07a35b523c062a592a4b210bd3fdf (patch)
tree5c26cfec508abd3913f8229c0e90fae0ab5e2256
parent2a360cf6acde00f96dcca8bf6dcc2f4fa1563da1 (diff)
downloadpatches-d80a15696bf07a35b523c062a592a4b210bd3fdf.tar
patches-d80a15696bf07a35b523c062a592a4b210bd3fdf.tar.gz
gnu: Add r-variancepartition.
* gnu/packages/bioconductor.scm (r-variancepartition): New variable.
-rw-r--r--gnu/packages/bioconductor.scm41
1 files changed, 41 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index ec3451b704..7ca6788dd8 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -6006,3 +6006,44 @@ same genome coordinate system.")
"This package is designed to conduct transcriptome analysis for tiling
arrays based on fast wavelet-based functional models.")
(license license:gpl2+)))
+
+(define-public r-variancepartition
+ (package
+ (name "r-variancepartition")
+ (version "1.14.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "variancePartition" version))
+ (sha256
+ (base32
+ "1ycapwb2mq57xibrzzjz9zwxqz4nwz9f3n5gskhlr5vcs7irkjd6"))))
+ (properties
+ `((upstream-name . "variancePartition")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-biobase" ,r-biobase)
+ ("r-colorramps" ,r-colorramps)
+ ("r-doparallel" ,r-doparallel)
+ ("r-foreach" ,r-foreach)
+ ("r-ggplot2" ,r-ggplot2)
+ ("r-gplots" ,r-gplots)
+ ("r-iterators" ,r-iterators)
+ ("r-limma" ,r-limma)
+ ("r-lme4" ,r-lme4)
+ ("r-lmertest" ,r-lmertest)
+ ("r-mass" ,r-mass)
+ ("r-pbkrtest" ,r-pbkrtest)
+ ("r-progress" ,r-progress)
+ ("r-reshape2" ,r-reshape2)
+ ("r-scales" ,r-scales)))
+ (home-page "https://bioconductor.org/packages/variancePartition/")
+ (synopsis "Analyze variation in gene expression experiments")
+ (description
+ "This is a package providing tools to quantify and interpret multiple
+sources of biological and technical variation in gene expression experiments.
+It uses a linear mixed model to quantify variation in gene expression
+attributable to individual, tissue, time point, or technical variables. The
+package includes dream differential expression analysis for repeated
+measures.")
+ (license license:gpl2+)))