gnu: Add r-dose.

* gnu/packages/bioconductor.scm (r-dose): New variable.
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Ricardo Wurmus 2019-03-27 15:45:20 +01:00
parent 11f226e124
commit 305050b56d
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@ -2779,3 +2779,37 @@ analysis. Using the fast algorithm allows to make more permutations and get
more fine grained p-values, which allows to use accurate stantard approaches
to multiple hypothesis correction.")
(license license:expat)))
(define-public r-dose
(package
(name "r-dose")
(version "3.8.2")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "DOSE" version))
(sha256
(base32
"1gh7dhvfc71kawxcfx8xqlir7mwvg5mmz4lqrdrvw5knvi2h3mfa"))))
(properties `((upstream-name . "DOSE")))
(build-system r-build-system)
(propagated-inputs
`(("r-annotationdbi" ,r-annotationdbi)
("r-biocparallel" ,r-biocparallel)
("r-do-db" ,r-do-db)
("r-fgsea" ,r-fgsea)
("r-ggplot2" ,r-ggplot2)
("r-gosemsim" ,r-gosemsim)
("r-qvalue" ,r-qvalue)
("r-reshape2" ,r-reshape2)
("r-s4vectors" ,r-s4vectors)))
(home-page "https://guangchuangyu.github.io/software/DOSE/")
(synopsis "Disease ontology semantic and enrichment analysis")
(description
"This package implements five methods proposed by Resnik, Schlicker,
Jiang, Lin and Wang, respectively, for measuring semantic similarities among
@dfn{Disease ontology} (DO) terms and gene products. Enrichment analyses
including hypergeometric model and gene set enrichment analysis are also
implemented for discovering disease associations of high-throughput biological
data.")
(license license:artistic2.0)))