gnu: Add r-dose.
* gnu/packages/bioconductor.scm (r-dose): New variable.
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					@ -2779,3 +2779,37 @@ analysis.  Using the fast algorithm allows to make more permutations and get
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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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