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