From dd42a330d1301fd34f36dada9d142006165abaef Mon Sep 17 00:00:00 2001 From: Raoul Jean Pierre Bonnal Date: Fri, 13 Jan 2017 20:38:25 +0100 Subject: gnu: Add r-sva. * gnu/packages/bioinformatics.scm (r-sva): New variable. --- gnu/packages/bioinformatics.scm | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) (limited to 'gnu/packages/bioinformatics.scm') diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index d82b6c093c..4b9cd22f86 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -7995,3 +7995,29 @@ immunoprecipitation and target enrichment on small gene panels. Thereby, CopywriteR constitutes a widely applicable alternative to available copy number detection tools.") (license license:gpl2))) + +(define-public r-sva + (package + (name "r-sva") + (version "3.22.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "sva" version)) + (sha256 + (base32 + "1wc1fjm6dzlsqqagm43y57w8jh8nsh0r0m8z1p6ximcb5gxqh7hn")))) + (build-system r-build-system) + (propagated-inputs + `(("r-genefilter" ,r-genefilter))) + (home-page "http://bioconductor.org/packages/sva") + (synopsis "Surrogate variable analysis") + (description + "This package contains functions for removing batch effects and other +unwanted variation in high-throughput experiment. It also contains functions +for identifying and building surrogate variables for high-dimensional data +sets. Surrogate variables are covariates constructed directly from +high-dimensional data like gene expression/RNA sequencing/methylation/brain +imaging data that can be used in subsequent analyses to adjust for unknown, +unmodeled, or latent sources of noise.") + (license license:artistic2.0))) -- cgit v1.2.3