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authorRoel Janssen <roel@gnu.org>2021-05-26 23:09:06 +0200
committerRoel Janssen <roel@gnu.org>2021-05-26 23:09:06 +0200
commit1edec0e8999cf4900fa0eddb4e11a790021a002c (patch)
tree32e9b9eb064c9698445798547675d75f518cdf5f
parent9f27579fb9ce4c8f464653e24c507e3e39748f24 (diff)
downloadguix-1edec0e8999cf4900fa0eddb4e11a790021a002c.tar.gz
guix-1edec0e8999cf4900fa0eddb4e11a790021a002c.zip
gnu: Add r-zinbwave.
* gnu/packages/bioconductor.scm (r-zinbwave): New variable.
-rw-r--r--gnu/packages/bioconductor.scm33
1 files changed, 33 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index 8ec7a6d90d..23a87c3dde 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -6629,6 +6629,39 @@ deployed as a centralized bioinformatics resource for use by many users.
Currently only Affymetrix oligonucleotide analysis is supported.")
(license license:gpl2+)))
+(define-public r-zinbwave
+ (package
+ (name "r-zinbwave")
+ (version "1.12.0")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (bioconductor-uri "zinbwave" version))
+ (sha256
+ (base32
+ "0m5f0wrk6kg88m41cchjwi4ssi7kr3196m8h9hrhygak964nsd4q"))))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-biocparallel" ,r-biocparallel)
+ ("r-edger" ,r-edger)
+ ("r-genefilter" ,r-genefilter)
+ ("r-matrix" ,r-matrix)
+ ("r-singlecellexperiment" ,r-singlecellexperiment)
+ ("r-softimpute" ,r-softimpute)
+ ("r-summarizedexperiment" ,r-summarizedexperiment)))
+ (native-inputs
+ `(("r-knitr" ,r-knitr)))
+ (home-page "https://bioconductor.org/packages/zinbwave")
+ (synopsis "Zero-inflated negative binomial model for RNA-seq data")
+ (description "This package implements a general and flexible zero-inflated
+negative binomial model that can be used to provide a low-dimensional
+representations of single-cell RNA-seq data. The model accounts for zero
+inflation (dropouts), over-dispersion, and the count nature of the data.
+The model also accounts for the difference in library sizes and optionally
+for batch effects and/or other covariates, avoiding the need for pre-normalize
+the data.")
+ (license license:artistic2.0)))
+
(define-public r-zfpkm
(package
(name "r-zfpkm")