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authorRicardo Wurmus <rekado@elephly.net>2019-03-13 13:14:40 +0100
committerRicardo Wurmus <rekado@elephly.net>2019-03-13 13:17:52 +0100
commitf088775799f4470d8c7e2c16380f83eea4f24e0e (patch)
tree00aefd9bdcd6b3348d09d04bed18f640b17b64d3
parentb409c3570ffc0b1ab1c124347ba6886d9aad898f (diff)
downloadpatches-f088775799f4470d8c7e2c16380f83eea4f24e0e.tar
patches-f088775799f4470d8c7e2c16380f83eea4f24e0e.tar.gz
gnu: Add r-scone.
* gnu/packages/bioconductor.scm (r-scone): New variable.
-rw-r--r--gnu/packages/bioconductor.scm40
1 files changed, 40 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index dfc43acc95..a95fbbf3eb 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -2083,3 +2083,43 @@ of differences between two conditions. The package also includes functions
for simulating data with these patterns from negative binomial
distributions.")
(license license:gpl2)))
+
+(define-public r-scone
+ (package
+ (name "r-scone")
+ (version "1.6.1")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "scone" version))
+ (sha256
+ (base32
+ "0l1x4cjnfjbpx6k55sjqx03555daa6v63rq0rg6b7jpz8xxzwa7p"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-aroma-light" ,r-aroma-light)
+ ("r-biocparallel" ,r-biocparallel)
+ ("r-boot" ,r-boot)
+ ("r-class" ,r-class)
+ ("r-cluster" ,r-cluster)
+ ("r-compositions" ,r-compositions)
+ ("r-diptest" ,r-diptest)
+ ("r-edger" ,r-edger)
+ ("r-fpc" ,r-fpc)
+ ("r-gplots" ,r-gplots)
+ ("r-hexbin" ,r-hexbin)
+ ("r-limma" ,r-limma)
+ ("r-matrixstats" ,r-matrixstats)
+ ("r-mixtools" ,r-mixtools)
+ ("r-rarpack" ,r-rarpack)
+ ("r-rcolorbrewer" ,r-rcolorbrewer)
+ ("r-rhdf5" ,r-rhdf5)
+ ("r-ruvseq" ,r-ruvseq)
+ ("r-summarizedexperiment" ,r-summarizedexperiment)))
+ (home-page "https://bioconductor.org/packages/scone")
+ (synopsis "Single cell overview of normalized expression data")
+ (description
+ "SCONE is an R package for comparing and ranking the performance of
+different normalization schemes for single-cell RNA-seq and other
+high-throughput analyses.")
+ (license license:artistic2.0)))