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Article

A hybrid BPSO-CGA approach for gene selection and classification of microarray data.

Journal of computational biology : a journal of computational molecular cell biology - 1 Jan 2012

Chuang Li-Yeh, Yang Cheng-Huei, Li Jung-Chike, Yang Cheng-Hong

Abstract excerpt

Microarray analysis promises to detect variations in gene expressions, and changes in the transcription rates of an entire genome in vivo. Microarray gene expression profiles indicate the relative abundance of mRNA corresponding to the genes. The selection of relevant genes from microarray data poses a formidable challenge to researchers due to the high-dimensionality of features, multiclass categories being...

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Source

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Identifiers

PMID: 21210743
DOI: 10.1089/cmb.2010.0064
PMCID: PMC3244808

Genes

CGA

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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