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

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* gnu/packages/bioinformatics.scm (r-wgcna): Move from here...
* gnu/packages/cran.scm (r-wgcna): ...to here.
This commit is contained in:
Ricardo Wurmus 2019-03-25 14:05:09 +01:00
parent 72a216a9d0
commit c5a2b518ad
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GPG key ID: 197A5888235FACAC
2 changed files with 39 additions and 39 deletions
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39
gnu/packages/bioinformatics.scm
View file

@ -8466,45 +8466,6 @@ (define-public r-mutationalpatterns
in SNV base substitution data.")
(license license:expat)))
(define-public r-wgcna
(package
(name "r-wgcna")
(version "1.66")
(source
(origin
(method url-fetch)
(uri (cran-uri "WGCNA" version))
(sha256
(base32
"0rhnyhzfn93yp24jz9v6dzrmyizwzdw070a7idm0k33w1cm8sjqv"))))
(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-robust" ,r-robust)
("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-chipkernels
(let ((commit "c9cfcacb626b1221094fb3490ea7bac0fd625372")
(revision "1"))

39
gnu/packages/cran.scm
View file

@ -12715,3 +12715,42 @@ (define-public r-optparse
@code{optparse} library to be used with Rscript to write shebang scripts
that accept short and long options.")
(license license:gpl2+)))
(define-public r-wgcna
(package
(name "r-wgcna")
(version "1.66")
(source
(origin
(method url-fetch)
(uri (cran-uri "WGCNA" version))
(sha256
(base32
"0rhnyhzfn93yp24jz9v6dzrmyizwzdw070a7idm0k33w1cm8sjqv"))))
(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-robust" ,r-robust)
("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+)))