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Package r-biosigner @ 1.16.0

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.

Home page
https://bioconductor.org/packages/biosigner/
Location
gnu/packages/bioconductor.scm (line: 5708, column: 2)
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