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

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This is a follow-up to commit 6e0ab26f31.

* gnu/packages/cran.scm (r-wgcna): Move from here...
* gnu/packages/bioconductor.scm (r-wgcna): ...to here.
This commit is contained in:
Ricardo Wurmus 2020-09-14 21:37:22 +02:00
parent 3292f6eda0
commit 3159fcf145
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2 changed files with 40 additions and 38 deletions
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40
gnu/packages/bioconductor.scm
View file

@ -8310,6 +8310,46 @@ generated.")
routines.")
(license license:lgpl2.0+)))
;; This is a CRAN package, but it depends on preprocessorcore, which is a
;; Bioconductor package.
(define-public r-wgcna
(package
(name "r-wgcna")
(version "1.69")
(source
(origin
(method url-fetch)
(uri (cran-uri "WGCNA" version))
(sha256
(base32
"022hkprnrafvggi8pkjffkvk1qlnibmbbxxrni00wkrdbga5589f"))))
(properties `((upstream-name . "WGCNA")))
(build-system r-build-system)
(propagated-inputs
`(("r-annotationdbi" ,r-annotationdbi)
("r-doparallel" ,r-doparallel)
("r-dynamictreecut" ,r-dynamictreecut)
("r-fastcluster" ,r-fastcluster)
("r-foreach" ,r-foreach)
("r-go-db" ,r-go-db)
("r-hmisc" ,r-hmisc)
("r-impute" ,r-impute)
("r-rcpp" ,r-rcpp)
("r-survival" ,r-survival)
("r-matrixstats" ,r-matrixstats)
("r-preprocesscore" ,r-preprocesscore)))
(home-page
"http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/")
(synopsis "Weighted correlation network analysis")
(description
"This package provides functions necessary to perform Weighted
Correlation Network Analysis on high-dimensional data. It includes functions
for rudimentary data cleaning, construction and summarization of correlation
networks, module identification and functions for relating both variables and
modules to sample traits. It also includes a number of utility functions for
data manipulation and visualization.")
(license license:gpl2+)))
(define-public r-rgraphviz
(package
(name "r-rgraphviz")

38
gnu/packages/cran.scm
View file

@ -14477,44 +14477,6 @@ authoring books and technical documents with R Markdown.")
that accept short and long options.")
(license license:gpl2+)))
(define-public r-wgcna
(package
(name "r-wgcna")
(version "1.69")
(source
(origin
(method url-fetch)
(uri (cran-uri "WGCNA" version))
(sha256
(base32
"022hkprnrafvggi8pkjffkvk1qlnibmbbxxrni00wkrdbga5589f"))))
(properties `((upstream-name . "WGCNA")))
(build-system r-build-system)
(propagated-inputs
`(("r-annotationdbi" ,r-annotationdbi)
("r-doparallel" ,r-doparallel)
("r-dynamictreecut" ,r-dynamictreecut)
("r-fastcluster" ,r-fastcluster)
("r-foreach" ,r-foreach)
("r-go-db" ,r-go-db)
("r-hmisc" ,r-hmisc)
("r-impute" ,r-impute)
("r-rcpp" ,r-rcpp)
("r-survival" ,r-survival)
("r-matrixstats" ,r-matrixstats)
("r-preprocesscore" ,r-preprocesscore)))
(home-page
"http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/")
(synopsis "Weighted correlation network analysis")
(description
"This package provides functions necessary to perform Weighted
Correlation Network Analysis on high-dimensional data. It includes functions
for rudimentary data cleaning, construction and summarization of correlation
networks, module identification and functions for relating both variables and
modules to sample traits. It also includes a number of utility functions for
data manipulation and visualization.")
(license license:gpl2+)))
(define-public r-kernlab
(package
(name "r-kernlab")