gnu: r-cistopic: Update to 2.1.0.

* gnu/packages/bioconductor.scm (r-cistopic): Update to 2.1.0.
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Ricardo Wurmus 2021-06-28 19:23:24 +02:00
parent 184fac5927
commit 4fb2b5cef8
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@ -10208,48 +10208,46 @@ (define-public r-circrnaprofiler
(license license:gpl3)))
(define-public r-cistopic
(let ((commit "29abd8df9afb60ff27ac3f0a590930debe926950")
(revision "0"))
(package
(name "r-cistopic")
(version (git-version "0.2.1" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/aertslab/cisTopic")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32
"0s8irpsv5d2zcv4ihanvsf1vrpignzliscxnvs4519af3jmx78h8"))))
(build-system r-build-system)
(propagated-inputs
`(("r-aucell" ,r-aucell)
("r-data-table" ,r-data-table)
("r-dplyr" ,r-dplyr)
("r-dosnow" ,r-dosnow)
("r-dt" ,r-dt)
("r-feather" ,r-feather)
("r-fitdistrplus" ,r-fitdistrplus)
("r-genomicranges" ,r-genomicranges)
("r-ggplot2" ,r-ggplot2)
("r-lda" ,r-lda)
("r-matrix" ,r-matrix)
("r-plyr" ,r-plyr)
("r-rcistarget" ,r-rcistarget)
("r-rtracklayer" ,r-rtracklayer)
("r-s4vectors" ,r-s4vectors)))
(home-page "https://github.com/aertslab/cisTopic")
(synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
(description
"The sparse nature of single cell epigenomics data can be overruled using
(package
(name "r-cistopic")
(version "2.1.0")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/aertslab/cisTopic")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0c4553rnxq7b1w451kcc3iwvak4qa5h2b43xmfw6ii8096zd1gbf"))))
(build-system r-build-system)
(propagated-inputs
`(("r-aucell" ,r-aucell)
("r-data-table" ,r-data-table)
("r-dplyr" ,r-dplyr)
("r-dosnow" ,r-dosnow)
("r-dt" ,r-dt)
("r-feather" ,r-feather)
("r-fitdistrplus" ,r-fitdistrplus)
("r-genomicranges" ,r-genomicranges)
("r-ggplot2" ,r-ggplot2)
("r-lda" ,r-lda)
("r-matrix" ,r-matrix)
("r-plyr" ,r-plyr)
("r-rcistarget" ,r-rcistarget)
("r-rtracklayer" ,r-rtracklayer)
("r-s4vectors" ,r-s4vectors)))
(home-page "https://github.com/aertslab/cisTopic")
(synopsis "Modelling of cis-regulatory topics from single cell epigenomics data")
(description
"The sparse nature of single cell epigenomics data can be overruled using
probabilistic modelling methods such as @dfn{Latent Dirichlet
Allocation} (LDA). This package allows the probabilistic modelling of
cis-regulatory topics (cisTopics) from single cell epigenomics data, and
includes functionalities to identify cell states based on the contribution of
cisTopics and explore the nature and regulatory proteins driving them.")
(license license:gpl3))))
(license license:gpl3)))
(define-public r-genie3
(package