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gnu: Add r-bayesprism.
* gnu/packages/bioinformatics.scm (r-bayesprism): New variable. Change-Id: I0eaefbaee0de6143fb892dda9c41459a5a5d30d6
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@ -24342,6 +24342,51 @@ copy number estimation, as described by
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@url{doi:10.1016/j.cell.2012.04.023,Nik-Zainal et al.}")
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(license license:gpl3)))
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(define-public r-bayesprism
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(package
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(name "r-bayesprism")
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(version "2.2.2")
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(source
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(origin
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(method git-fetch)
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(uri (git-reference
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(url "https://github.com/Danko-Lab/BayesPrism")
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;; The version string in the DESCRIPTION file was changed to
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;; 2.2.2 in this commit.
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(commit "5d43190d5fdfc900571ae1b05b9dcad9ee6b8b2b")))
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(file-name (git-file-name name version))
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(sha256
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(base32 "0rlq6nv1adc9w1ync8834kv59ksixxzbpf3xlbxi5s8x54gv4q9y"))))
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(properties `((upstream-name . "BayesPrism")))
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(build-system r-build-system)
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(arguments
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(list
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#:phases
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'(modify-phases %standard-phases
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(add-after 'unpack 'chdir
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(lambda _ (chdir "BayesPrism"))))))
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(propagated-inputs (list r-biocparallel
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r-gplots
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r-matrix
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r-nmf
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r-scran
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r-snowfall
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r-r-utils))
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(native-inputs (list r-knitr))
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(home-page "https://github.com/Danko-Lab/BayesPrism")
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(synopsis "Bayesian cell type and gene expression deconvolution")
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(description
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"BayesPrism includes deconvolution and embedding learning modules.
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The deconvolution module models a prior from cell type-specific expression
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profiles from scRNA-seq to jointly estimate the posterior distribution of cell
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type composition and cell type-specific gene expression from bulk RNA-seq
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expression of tumor samples. The embedding learning module uses
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@dfn{Expectation-maximization} (EM) to approximate the tumor expression using
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a linear combination of malignant gene programs while conditional on the
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inferred expression and fraction of non-malignant cells estimated by the
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deconvolution module.")
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(license license:gpl3)))
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(define-public r-catch
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(let ((commit "196ddd5a51b1a5f5daa01de53fdaad9b7505e084")
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(revision "1"))
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