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01/01: gnu: Add r-sva.

From: Ricardo Wurmus
Subject: 01/01: gnu: Add r-sva.
Date: Sat, 14 Jan 2017 10:15:37 +0000 (UTC)

rekado pushed a commit to branch master
in repository guix.

commit dd42a330d1301fd34f36dada9d142006165abaef
Author: Raoul Jean Pierre Bonnal <address@hidden>
Date:   Fri Jan 13 20:38:25 2017 +0100

    gnu: Add r-sva.
    * gnu/packages/bioinformatics.scm (r-sva): New variable.
 gnu/packages/bioinformatics.scm |   26 ++++++++++++++++++++++++++
 1 file changed, 26 insertions(+)

diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm
index d82b6c0..4b9cd22 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 "";)
+    (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)))

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