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@ -6280,6 +6280,48 @@ sequence.")
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(supported-systems '("i686-linux" "x86_64-linux"))
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(license license:bsd-3)))
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(define-public r-scde
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(package
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(name "r-scde")
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(version "1.99.2")
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(source (origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/hms-dbmi/scde.git")
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(commit version)))
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(file-name (git-file-name name version))
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(sha256
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(base32
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"10na2gyka24mszdxf92wz9h2c13hdf1ww30c68gfsw53lvvhhhxb"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-rcpp" ,r-rcpp)
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("r-rcpparmadillo" ,r-rcpparmadillo)
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("r-mgcv" ,r-mgcv)
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("r-rook" ,r-rook)
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("r-rjson" ,r-rjson)
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("r-cairo" ,r-cairo)
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("r-rcolorbrewer" ,r-rcolorbrewer)
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("r-edger" ,r-edger)
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("r-quantreg" ,r-quantreg)
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("r-nnet" ,r-nnet)
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("r-rmtstat" ,r-rmtstat)
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("r-extremes" ,r-extremes)
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("r-pcamethods" ,r-pcamethods)
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("r-biocparallel" ,r-biocparallel)
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("r-flexmix" ,r-flexmix)))
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(home-page "https://hms-dbmi.github.io/scde/")
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(synopsis "R package for analyzing single-cell RNA-seq data")
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(description "The SCDE package implements a set of statistical methods for
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analyzing single-cell RNA-seq data. SCDE fits individual error models for
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single-cell RNA-seq measurements. These models can then be used for
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assessment of differential expression between groups of cells, as well as
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other types of analysis. The SCDE package also contains the pagoda framework
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which applies pathway and gene set overdispersion analysis to identify aspects
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of transcriptional heterogeneity among single cells.")
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;; See https://github.com/hms-dbmi/scde/issues/38
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(license license:gpl2)))
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(define-public r-centipede
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(package
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(name "r-centipede")
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