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Title:
Bioconductor - biosigner
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 new 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
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Keywords {🔍}
package, bioconductor, packages, version, source, biosigner, data, release, binary, omics, restricted, molecular, signatures, thevenot, enter, install, bioc, learn, developers, started, software, discovery, build, classifiers, method, metabolomics, rinaudo, aut, etienne, installation, start, documentation, system, details, stats, url, macos, repository, git, clone, reports, code, registration, open, gbcc, joint, galaxybioconductor, conference, search, menu,
Topics {✒️}
org/packages/biosigner source repository build robust classifiers joint galaxy/bioconductor conference bioconductor release source packages source package release //code bioconductor support site org online infrastructure enabling future predictions script reference manual source repository high-dimension data svm binary classifiers gz windows binary omics data analysis tgz macos binary git clone https meaningful molecular signatures package implements stable molecular signatures package installed details biocviews utils system requirements philippe rinaudo [aut] source archive started install packages package omics data macos binary galaxy implementation biosigner-vignette bioconductor //bioconductor molecular biosciences thevenot [aut registration open feature selection prediction performances pls-da random forest cre] orcid quietly = true older versions pdf news cecill depends developer access released version
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