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gnu: Add r-biosigner.

* gnu/packages/bioconductor.scm (r-biosigner): New variable.
This commit is contained in:
Ricardo Wurmus 2019-06-10 10:58:39 +02:00
parent a9fac3f4d3
commit 075a90946b
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@ -4642,3 +4642,38 @@ validity of the model by permutation testing, detect outliers, and perform
feature selection (e.g. with Variable Importance in Projection or regression
coefficients).")
(license license:cecill)))
(define-public r-biosigner
(package
(name "r-biosigner")
(version "1.12.0")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "biosigner" version))
(sha256
(base32
"1643iya40v6whb7lw7y34w5sanbasvj4yhvcygbip667yhphyv5b"))))
(build-system r-build-system)
(propagated-inputs
`(("r-biobase" ,r-biobase)
("r-e1071" ,r-e1071)
("r-randomforest" ,r-randomforest)
("r-ropls" ,r-ropls)))
(native-inputs
`(("r-knitr" ,r-knitr)
("r-rmarkdown" ,r-rmarkdown)
("pandoc" ,ghc-pandoc)
("pandoc-citeproc" ,ghc-pandoc-citeproc))) ; all for vignettes
(home-page "https://bioconductor.org/packages/biosigner/")
(synopsis "Signature discovery from omics data")
(description
"Feature selection is critical in omics data analysis to extract
restricted and meaningful molecular signatures from complex and high-dimension
data, and to build robust classifiers. This package implements a method to
assess the relevance of the variables for the prediction performances of the
classifier. The approach can be run in parallel with the PLS-DA, Random
Forest, and SVM binary classifiers. The signatures and the corresponding
'restricted' models are returned, enabling future predictions on new
datasets.")
(license license:cecill)))