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gnu: Add r-dose.
* gnu/packages/bioconductor.scm (r-dose): New variable.
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@ -2779,3 +2779,37 @@ (define-public r-fgsea
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more fine grained p-values, which allows to use accurate stantard approaches
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more fine grained p-values, which allows to use accurate stantard approaches
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to multiple hypothesis correction.")
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to multiple hypothesis correction.")
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(license license:expat)))
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(license license:expat)))
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(define-public r-dose
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(package
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(name "r-dose")
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(version "3.8.2")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "DOSE" version))
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(sha256
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(base32
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"1gh7dhvfc71kawxcfx8xqlir7mwvg5mmz4lqrdrvw5knvi2h3mfa"))))
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(properties `((upstream-name . "DOSE")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-annotationdbi" ,r-annotationdbi)
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("r-biocparallel" ,r-biocparallel)
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("r-do-db" ,r-do-db)
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("r-fgsea" ,r-fgsea)
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("r-ggplot2" ,r-ggplot2)
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("r-gosemsim" ,r-gosemsim)
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("r-qvalue" ,r-qvalue)
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("r-reshape2" ,r-reshape2)
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("r-s4vectors" ,r-s4vectors)))
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(home-page "https://guangchuangyu.github.io/software/DOSE/")
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(synopsis "Disease ontology semantic and enrichment analysis")
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(description
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"This package implements five methods proposed by Resnik, Schlicker,
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Jiang, Lin and Wang, respectively, for measuring semantic similarities among
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@dfn{Disease ontology} (DO) terms and gene products. Enrichment analyses
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including hypergeometric model and gene set enrichment analysis are also
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implemented for discovering disease associations of high-throughput biological
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data.")
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(license license:artistic2.0)))
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