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