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@ -2083,3 +2083,43 @@ 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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(define-public r-scone
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(package
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(name "r-scone")
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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 "scone" version))
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(sha256
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(base32
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"0l1x4cjnfjbpx6k55sjqx03555daa6v63rq0rg6b7jpz8xxzwa7p"))))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-aroma-light" ,r-aroma-light)
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("r-biocparallel" ,r-biocparallel)
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("r-boot" ,r-boot)
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("r-class" ,r-class)
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("r-cluster" ,r-cluster)
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("r-compositions" ,r-compositions)
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("r-diptest" ,r-diptest)
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("r-edger" ,r-edger)
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("r-fpc" ,r-fpc)
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("r-gplots" ,r-gplots)
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("r-hexbin" ,r-hexbin)
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("r-limma" ,r-limma)
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("r-matrixstats" ,r-matrixstats)
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("r-mixtools" ,r-mixtools)
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("r-rarpack" ,r-rarpack)
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("r-rcolorbrewer" ,r-rcolorbrewer)
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("r-rhdf5" ,r-rhdf5)
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("r-ruvseq" ,r-ruvseq)
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("r-summarizedexperiment" ,r-summarizedexperiment)))
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(home-page "https://bioconductor.org/packages/scone")
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(synopsis "Single cell overview of normalized expression data")
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(description
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"SCONE is an R package for comparing and ranking the performance of
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different normalization schemes for single-cell RNA-seq and other
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high-throughput analyses.")
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(license license:artistic2.0)))
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