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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/bioinformatics.scm | |
parent | 72a216a9d048a2a1018877b7e0eadb75fb278cf1 (diff) | |
download | guix-c5a2b518ad1cf5e062c073fe31692e690c28ab78.tar guix-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/bioinformatics.scm')
-rw-r--r-- | gnu/packages/bioinformatics.scm | 39 |
1 files changed, 0 insertions, 39 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index c1d7f5d20e..1a942b6476 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -8466,45 +8466,6 @@ characterization and visualization of a wide range of mutational patterns 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")) |