gnu: Add r-scdd.
* gnu/packages/bioconductor.scm (r-scdd): New variable.
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@ -2047,3 +2047,39 @@ detected features, features length, etc. It also supports the analysis of
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differential expression between two experimental conditions with no parametric
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assumptions.")
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(license license:artistic2.0)))
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(define-public r-scdd
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(package
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(name "r-scdd")
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(version "1.6.1")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "scDD" version))
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(sha256
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(base32
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"0dp2awajd5281dwpbs0wb8ij2pq9l60p0b80xhxrb41m5qybcri8"))))
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(properties `((upstream-name . "scDD")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-arm" ,r-arm)
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("r-biocparallel" ,r-biocparallel)
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("r-ebseq" ,r-ebseq)
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("r-fields" ,r-fields)
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("r-ggplot2" ,r-ggplot2)
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("r-mclust" ,r-mclust)
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("r-outliers" ,r-outliers)
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("r-s4vectors" ,r-s4vectors)
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("r-scran" ,r-scran)
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("r-singlecellexperiment" ,r-singlecellexperiment)
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("r-summarizedexperiment" ,r-summarizedexperiment)))
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(home-page "https://github.com/kdkorthauer/scDD")
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(synopsis "Mixture modeling of single-cell RNA-seq data")
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(description
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"This package implements a method to analyze single-cell RNA-seq data
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utilizing flexible Dirichlet Process mixture models. Genes with differential
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distributions of expression are classified into several interesting patterns
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of differences between two conditions. The package also includes functions
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for simulating data with these patterns from negative binomial
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distributions.")
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(license license:gpl2)))
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