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authorRicardo Wurmus <rekado@elephly.net>2019-08-15 17:39:16 +0200
committerRicardo Wurmus <rekado@elephly.net>2019-08-15 17:44:25 +0200
commita9815a6cf27dd0e2140038c35d4ad5ef91f6d7d6 (patch)
tree21f9faf7873ad948660b03f19294a15e7c4c34d3 /gnu/packages/bioconductor.scm
parentbb88417fb70f8881d46e2f2e8235a1aa16591a36 (diff)
downloadpatches-a9815a6cf27dd0e2140038c35d4ad5ef91f6d7d6.tar
patches-a9815a6cf27dd0e2140038c35d4ad5ef91f6d7d6.tar.gz
gnu: Add r-cistopic.
* gnu/packages/bioconductor.scm (r-cistopic): New variable.
Diffstat (limited to 'gnu/packages/bioconductor.scm')
-rw-r--r--gnu/packages/bioconductor.scm44
1 files changed, 44 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm
index 0a0aee7309..ea43bf2fdf 100644
--- a/gnu/packages/bioconductor.scm
+++ b/gnu/packages/bioconductor.scm
@@ -5186,3 +5186,47 @@ accessibility data.")
`(("r-monocle3" ,r-monocle3)
,@(alist-delete "r-monocle"
(package-propagated-inputs r-cicero)))))))
+
+(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.git")
+ (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
+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))))