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author | Ricardo Wurmus <rekado@elephly.net> | 2019-03-13 13:14:40 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-03-13 13:17:52 +0100 |
commit | f088775799f4470d8c7e2c16380f83eea4f24e0e (patch) | |
tree | 00aefd9bdcd6b3348d09d04bed18f640b17b64d3 /gnu/packages | |
parent | b409c3570ffc0b1ab1c124347ba6886d9aad898f (diff) | |
download | patches-f088775799f4470d8c7e2c16380f83eea4f24e0e.tar patches-f088775799f4470d8c7e2c16380f83eea4f24e0e.tar.gz |
gnu: Add r-scone.
* gnu/packages/bioconductor.scm (r-scone): New variable.
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/bioconductor.scm | 40 |
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))) |