gnu: r-wgcna: Move to (gnu packages cran).
* gnu/packages/bioinformatics.scm (r-wgcna): Move from here... * gnu/packages/cran.scm (r-wgcna): ...to here.
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@ -8466,45 +8466,6 @@ characterization and visualization of a wide range of mutational patterns
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in SNV base substitution data.")
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(license license:expat)))
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(define-public r-wgcna
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(package
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(name "r-wgcna")
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(version "1.66")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "WGCNA" version))
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(sha256
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(base32
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"0rhnyhzfn93yp24jz9v6dzrmyizwzdw070a7idm0k33w1cm8sjqv"))))
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(properties `((upstream-name . "WGCNA")))
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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-doparallel" ,r-doparallel)
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("r-dynamictreecut" ,r-dynamictreecut)
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("r-fastcluster" ,r-fastcluster)
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("r-foreach" ,r-foreach)
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("r-go-db" ,r-go-db)
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("r-hmisc" ,r-hmisc)
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("r-impute" ,r-impute)
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("r-rcpp" ,r-rcpp)
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("r-robust" ,r-robust)
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("r-survival" ,r-survival)
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("r-matrixstats" ,r-matrixstats)
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("r-preprocesscore" ,r-preprocesscore)))
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(home-page
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"http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/")
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(synopsis "Weighted correlation network analysis")
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(description
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"This package provides functions necessary to perform Weighted
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Correlation Network Analysis on high-dimensional data. It includes functions
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for rudimentary data cleaning, construction and summarization of correlation
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networks, module identification and functions for relating both variables and
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modules to sample traits. It also includes a number of utility functions for
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data manipulation and visualization.")
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(license license:gpl2+)))
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(define-public r-chipkernels
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(let ((commit "c9cfcacb626b1221094fb3490ea7bac0fd625372")
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(revision "1"))
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@ -12715,3 +12715,42 @@ authoring books and technical documents with R Markdown.")
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@code{optparse} library to be used with Rscript to write shebang scripts
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that accept short and long options.")
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(license license:gpl2+)))
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(define-public r-wgcna
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(package
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(name "r-wgcna")
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(version "1.66")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "WGCNA" version))
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(sha256
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(base32
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"0rhnyhzfn93yp24jz9v6dzrmyizwzdw070a7idm0k33w1cm8sjqv"))))
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(properties `((upstream-name . "WGCNA")))
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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-doparallel" ,r-doparallel)
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("r-dynamictreecut" ,r-dynamictreecut)
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("r-fastcluster" ,r-fastcluster)
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("r-foreach" ,r-foreach)
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("r-go-db" ,r-go-db)
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("r-hmisc" ,r-hmisc)
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("r-impute" ,r-impute)
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("r-rcpp" ,r-rcpp)
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("r-robust" ,r-robust)
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("r-survival" ,r-survival)
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("r-matrixstats" ,r-matrixstats)
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("r-preprocesscore" ,r-preprocesscore)))
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(home-page
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"http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/")
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(synopsis "Weighted correlation network analysis")
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(description
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"This package provides functions necessary to perform Weighted
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Correlation Network Analysis on high-dimensional data. It includes functions
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for rudimentary data cleaning, construction and summarization of correlation
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networks, module identification and functions for relating both variables and
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modules to sample traits. It also includes a number of utility functions for
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data manipulation and visualization.")
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(license license:gpl2+)))
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