gnu: Add r-aucell.

* gnu/packages/bioconductor.scm (r-aucell): New variable.
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Ricardo Wurmus 2019-03-29 18:10:46 +01:00
parent f31e10f82e
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@ -3551,3 +3551,38 @@ text files).")
"This package provides a framework for allele-specific expression
investigation using RNA-seq data.")
(license license:gpl3)))
(define-public r-aucell
(package
(name "r-aucell")
(version "1.4.1")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "AUCell" version))
(sha256
(base32
"1kdrs0521cyb8wlc4i3idfprrcy2f9w6kl56hfa94n0brmx62ya9"))))
(properties `((upstream-name . "AUCell")))
(build-system r-build-system)
(propagated-inputs
`(("r-data-table" ,r-data-table)
("r-gseabase" ,r-gseabase)
("r-mixtools" ,r-mixtools)
("r-r-utils" ,r-r-utils)
("r-shiny" ,r-shiny)
("r-summarizedexperiment" ,r-summarizedexperiment)))
(home-page "https://bioconductor.org/packages/AUCell/")
(synopsis "Analysis of gene set activity in single-cell RNA-seq data")
(description
"AUCell allows to identify cells with active gene sets (e.g. signatures,
gene modules, etc) in single-cell RNA-seq data. AUCell uses the @dfn{Area
Under the Curve} (AUC) to calculate whether a critical subset of the input
gene set is enriched within the expressed genes for each cell. The
distribution of AUC scores across all the cells allows exploring the relative
expression of the signature. Since the scoring method is ranking-based,
AUCell is independent of the gene expression units and the normalization
procedure. In addition, since the cells are evaluated individually, it can
easily be applied to bigger datasets, subsetting the expression matrix if
needed.")
(license license:gpl3)))