gnu: Add r-basics.

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

Change-Id: I6f0afeeb41f667d780707af65034d5ba978f0d4a
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Mădălin Ionel Patrașcu 2023-11-06 12:06:41 +01:00 committed by Ricardo Wurmus
parent 47a4195649
commit 4e1c6f4998
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@ -22622,6 +22622,56 @@ (define-public r-basic4cseq
approach and a multi-scale contact profile.")
(license license:lgpl3)))
(define-public r-basics
(package
(name "r-basics")
(version "2.14.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "BASiCS" version))
(sha256
(base32 "0kf215n151sxphc5w9h4i2xsk7lmysi4abwcpyz4slbwhpki3ac8"))))
(properties `((upstream-name . "BASiCS")))
(build-system r-build-system)
(propagated-inputs
(list r-assertthat
r-biobase
r-biocgenerics
r-biocparallel
r-coda
r-cowplot
r-ggextra
r-ggplot2
r-hexbin
r-mass
r-matrix
r-matrixstats
r-posterior
r-rcpp
r-rcpparmadillo
r-reshape2
r-s4vectors
r-scran
r-scuttle
r-singlecellexperiment
r-summarizedexperiment
r-viridis))
(native-inputs (list r-knitr))
(home-page "https://github.com/catavallejos/BASiCS")
(synopsis "Bayesian analysis of single-cell sequencing data")
(description
"@acronym{BASiCS, Bayesian analysis of single-cell sequencing data} is an
integrated Bayesian hierarchical model to perform statistical analyses of
single-cell RNA sequencing datasets in the context of supervised experiments
(where the groups of cells of interest are known a priori. BASiCS performs
built-in data normalisation (global scaling) and technical noise quantification
(based on spike-in genes). BASiCS provides an intuitive detection criterion
for highly (or lowly) variable genes within a single group of cells.
Additionally, BASiCS can compare gene expression patterns between two or more
pre-specified groups of cells.")
(license license:gpl3)))
(define-public r-basilisk-utils
(package
(name "r-basilisk-utils")