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author | Ricardo Wurmus <rekado@elephly.net> | 2019-03-25 14:05:09 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2019-03-25 14:05:09 +0100 |
commit | c5a2b518ad1cf5e062c073fe31692e690c28ab78 (patch) | |
tree | 9b7ccbfc18179270a2fe29c643502a13ce800aa9 /gnu/packages/cran.scm | |
parent | 72a216a9d048a2a1018877b7e0eadb75fb278cf1 (diff) | |
download | patches-c5a2b518ad1cf5e062c073fe31692e690c28ab78.tar patches-c5a2b518ad1cf5e062c073fe31692e690c28ab78.tar.gz |
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.
Diffstat (limited to 'gnu/packages/cran.scm')
-rw-r--r-- | gnu/packages/cran.scm | 39 |
1 files changed, 39 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 8bf5404a0c..ba86457808 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -12715,3 +12715,42 @@ authoring books and technical documents with R Markdown.") @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+))) |