gnu: r-cistopic: Update to 2.1.0.
* gnu/packages/bioconductor.scm (r-cistopic): Update to 2.1.0.master
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@ -10208,48 +10208,46 @@ analysis, evolutionary conservation, biogenesis to functional analysis.")
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(license license:gpl3)))
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(license license:gpl3)))
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(define-public r-cistopic
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(define-public r-cistopic
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(let ((commit "29abd8df9afb60ff27ac3f0a590930debe926950")
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(package
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(revision "0"))
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(name "r-cistopic")
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(package
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(version "2.1.0")
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(name "r-cistopic")
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(source
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(version (git-version "0.2.1" revision commit))
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(origin
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(source
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(method git-fetch)
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(origin
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(uri (git-reference
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(method git-fetch)
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(url "https://github.com/aertslab/cisTopic")
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(uri (git-reference
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(commit (string-append "v" version))))
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(url "https://github.com/aertslab/cisTopic")
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(file-name (git-file-name name version))
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(commit commit)))
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(sha256
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(file-name (git-file-name name version))
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(base32
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(sha256
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"0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf"))))
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(base32
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(build-system r-build-system)
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"0s8irpsv5d2zcv4ihanvsf1vrpignzliscxnvs4519af3jmx78h8"))))
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(propagated-inputs
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(build-system r-build-system)
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`(("r-aucell" ,r-aucell)
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(propagated-inputs
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("r-data-table" ,r-data-table)
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`(("r-aucell" ,r-aucell)
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("r-dplyr" ,r-dplyr)
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("r-data-table" ,r-data-table)
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("r-dosnow" ,r-dosnow)
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("r-dplyr" ,r-dplyr)
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("r-dt" ,r-dt)
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("r-dosnow" ,r-dosnow)
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("r-feather" ,r-feather)
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("r-dt" ,r-dt)
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("r-fitdistrplus" ,r-fitdistrplus)
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("r-feather" ,r-feather)
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("r-genomicranges" ,r-genomicranges)
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("r-fitdistrplus" ,r-fitdistrplus)
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("r-ggplot2" ,r-ggplot2)
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("r-genomicranges" ,r-genomicranges)
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("r-lda" ,r-lda)
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("r-ggplot2" ,r-ggplot2)
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("r-matrix" ,r-matrix)
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("r-lda" ,r-lda)
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("r-plyr" ,r-plyr)
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("r-matrix" ,r-matrix)
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("r-rcistarget" ,r-rcistarget)
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("r-plyr" ,r-plyr)
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("r-rtracklayer" ,r-rtracklayer)
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("r-rcistarget" ,r-rcistarget)
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("r-s4vectors" ,r-s4vectors)))
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("r-rtracklayer" ,r-rtracklayer)
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(home-page "https://github.com/aertslab/cisTopic")
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("r-s4vectors" ,r-s4vectors)))
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(synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
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(home-page "https://github.com/aertslab/cisTopic")
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(description
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(synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
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"The sparse nature of single cell epigenomics data can be overruled using
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(description
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"The sparse nature of single cell epigenomics data can be overruled using
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probabilistic modelling methods such as @dfn{Latent Dirichlet
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probabilistic modelling methods such as @dfn{Latent Dirichlet
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Allocation} (LDA). This package allows the probabilistic modelling of
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Allocation} (LDA). This package allows the probabilistic modelling of
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cis-regulatory topics (cisTopics) from single cell epigenomics data, and
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cis-regulatory topics (cisTopics) from single cell epigenomics data, and
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includes functionalities to identify cell states based on the contribution of
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includes functionalities to identify cell states based on the contribution of
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cisTopics and explore the nature and regulatory proteins driving them.")
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cisTopics and explore the nature and regulatory proteins driving them.")
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(license license:gpl3))))
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(license license:gpl3)))
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(define-public r-genie3
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(define-public r-genie3
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(package
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(package
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