gnu: Add r-apcomplex.
* gnu/packages/bioconductor.scm (r-apcomplex): New variable.master
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@ -11102,32 +11102,57 @@ problems in genomics, brain imaging, astrophysics, and data mining.")
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@code{Rcpp}.")
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(license license:gpl2+)))
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(define-public r-apcomplex
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(package
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(name "r-apcomplex")
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(version "2.66.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "apComplex" version))
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(sha256
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(base32 "057p1bsqqw3r49bsx78prqc4jha468bfx50gpl62giix0cfs007f"))))
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(properties `((upstream-name . "apComplex")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-graph
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r-org-sc-sgd-db
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r-rbgl
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r-rgraphviz))
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(home-page "https://bioconductor.org/packages/apComplex")
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(synopsis "Estimate protein complex membership using AP-MS protein data")
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(description
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"This package provides functions to estimate a bipartite graph of protein
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complex membership using @acronym{AP-MS, affinity purification–mass
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spectrometry} data.")
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(license license:lgpl2.0+)))
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(define-public r-apeglm
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(package
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(name "r-apeglm")
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(version "1.22.1")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "apeglm" version))
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(sha256
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(base32
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"19r1mhpkn3xy6l188c14k9xgn25xqc718bwrlmnz63lak6mp4ws7"))))
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(properties `((upstream-name . "apeglm")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-emdbook
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r-genomicranges
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r-rcpp
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r-rcppeigen
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r-rcppnumerical
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r-summarizedexperiment))
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(native-inputs (list r-knitr r-rmarkdown))
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(home-page "https://bioconductor.org/packages/apeglm")
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(synopsis "Approximate posterior estimation for GLM coefficients")
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(description "This package provides Bayesian shrinkage estimators for
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(name "r-apeglm")
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(version "1.22.1")
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(source (origin
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(method url-fetch)
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(uri (bioconductor-uri "apeglm" version))
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(sha256
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(base32
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"19r1mhpkn3xy6l188c14k9xgn25xqc718bwrlmnz63lak6mp4ws7"))))
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(properties `((upstream-name . "apeglm")))
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(build-system r-build-system)
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(propagated-inputs
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(list r-emdbook
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r-genomicranges
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r-rcpp
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r-rcppeigen
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r-rcppnumerical
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r-summarizedexperiment))
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(native-inputs (list r-knitr r-rmarkdown))
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(home-page "https://bioconductor.org/packages/apeglm")
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(synopsis "Approximate posterior estimation for GLM coefficients")
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(description "This package provides Bayesian shrinkage estimators for
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effect sizes for a variety of GLM models, using approximation of the
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posterior for individual coefficients.")
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(license license:gpl2)))
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(license license:gpl2)))
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(define-public r-greylistchip
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(package
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