Article

Efficient feature selection on gene expression data: Which algorithm to use?

2018-10-03

Abstract excerpt

<h4>Background</h4> Feature selection seeks to identify a minimal-size subset of features that is maximally predictive of the outcome of interest. It is particularly important for biomarker discovery from high-dimensional molecular data, where the features could correspond to gene expressions, Single Nucleotide Polymorphisms (SNPs), proteins concentrations, e.t.c. We evaluate, empirically, three state-of-the-art,...

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Literature Corpus work: 5a05e683-4a39-5ff0-bf1e-7bbf9318193d
DOI: 10.1101/431734

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