gnu: Add r-ccfindr.

* gnu/packages/bioconductor.scm (r-ccfindr): New variable.

Change-Id: Icc76252494a1750888b8218df36ed002096c0268
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Ricardo Wurmus 2024-11-25 16:37:07 +01:00 committed by Andreas Enge
parent bdfc8312a2
commit f956b87c9b
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@ -5327,6 +5327,49 @@ (define-public r-cardelino
stochastic dropout events as well as systematic allelic imbalance is used.")
(license license:gpl3)))
(define-public r-ccfindr
(package
(name "r-ccfindr")
(version "1.26.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "ccfindR" version))
(sha256
(base32 "1v8lrgs5rqf0pz5gg7g5hh9y7cj90s8k04bhimhlzr0iah27vhc5"))))
(properties
`((upstream-name . "ccfindR")
(updater-extra-inputs . ("gsl"))))
(build-system r-build-system)
(inputs (list gsl))
(propagated-inputs (list r-ape
r-gtools
r-irlba
r-matrix
r-rcolorbrewer
r-rcpp
r-rcppeigen
r-rdpack
r-rmpi
r-rtsne
r-s4vectors
r-singlecellexperiment
r-summarizedexperiment))
(native-inputs (list r-knitr))
(home-page "https://dx.doi.org/10.26508/lsa.201900443")
(synopsis "Cancer clone finder")
(description
"This package provides a collection of tools for cancer genomic data
clustering analyses, including those for single cell RNA-seq. Cell clustering
and feature gene selection analysis employ Bayesian (and maximum likelihood)
non-negative matrix factorization (NMF) algorithm. Input data set consists of
RNA count matrix, gene, and cell bar code annotations. Analysis outputs are
factor matrices for multiple ranks and marginal likelihood values for each
rank. The package includes utilities for downstream analyses, including
meta-gene identification, visualization, and construction of rank-based trees
for clusters.")
(license license:gpl2+)))
(define-public r-cellid
(package
(name "r-cellid")