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gnu: r-sva: Move to (gnu packages bioconductor).

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* gnu/packages/bioinformatics.scm (r-sva): Move from here...
* gnu/packages/bioconductor.scm (r-sva): ...to here.
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zimoun 2021-05-21 22:26:07 +02:00 committed by Ricardo Wurmus
parent 900ef8fb1e
commit 621aa3b442
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2 changed files with 31 additions and 31 deletions
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31
gnu/packages/bioconductor.scm
View file

@ -3790,6 +3790,37 @@ (define-public r-summarizedexperiment
samples.")
(license license:artistic2.0)))
(define-public r-sva
(package
(name "r-sva")
(version "3.38.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "sva" version))
(sha256
(base32
"1hpzzg3qrgkd8kwg1m5gq94cikjgk9j4l1wk58fxl49s6fmd13zy"))))
(build-system r-build-system)
(propagated-inputs
`(("r-edger" ,r-edger)
("r-genefilter" ,r-genefilter)
("r-mgcv" ,r-mgcv)
("r-biocparallel" ,r-biocparallel)
("r-matrixstats" ,r-matrixstats)
("r-limma" ,r-limma)))
(home-page "https://bioconductor.org/packages/sva")
(synopsis "Surrogate variable analysis")
(description
"This package contains functions for removing batch effects and other
unwanted variation in high-throughput experiment. It also contains functions
for identifying and building surrogate variables for high-dimensional data
sets. Surrogate variables are covariates constructed directly from
high-dimensional data like gene expression/RNA sequencing/methylation/brain
imaging data that can be used in subsequent analyses to adjust for unknown,
unmodeled, or latent sources of noise.")
(license license:artistic2.0)))
(define-public r-systempiper
(package
(name "r-systempiper")

31
gnu/packages/bioinformatics.scm
View file

@ -8964,37 +8964,6 @@ (define-public r-methylkit
TAB-Seq.")
(license license:artistic2.0)))
(define-public r-sva
(package
(name "r-sva")
(version "3.38.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "sva" version))
(sha256
(base32
"1hpzzg3qrgkd8kwg1m5gq94cikjgk9j4l1wk58fxl49s6fmd13zy"))))
(build-system r-build-system)
(propagated-inputs
`(("r-edger" ,r-edger)
("r-genefilter" ,r-genefilter)
("r-mgcv" ,r-mgcv)
("r-biocparallel" ,r-biocparallel)
("r-matrixstats" ,r-matrixstats)
("r-limma" ,r-limma)))
(home-page "https://bioconductor.org/packages/sva")
(synopsis "Surrogate variable analysis")
(description
"This package contains functions for removing batch effects and other
unwanted variation in high-throughput experiment. It also contains functions
for identifying and building surrogate variables for high-dimensional data
sets. Surrogate variables are covariates constructed directly from
high-dimensional data like gene expression/RNA sequencing/methylation/brain
imaging data that can be used in subsequent analyses to adjust for unknown,
unmodeled, or latent sources of noise.")
(license license:artistic2.0)))
(define-public r-raremetals2
(package
(name "r-raremetals2")