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Article

Maximal conditional chi-square importance in random forests.

Bioinformatics (Oxford, England) - 15 Mar 2010

Wang Minghui, Chen Xiang, Zhang Heping

Abstract excerpt

MOTIVATION: High-dimensional data are frequently generated in genome-wide association studies (GWAS) and other studies. It is important to identify features such as single nucleotide polymorphisms (SNPs) in GWAS that are associated with a disease. Random forests represent a very useful approach f...

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PMID: 20130032
DOI: 10.1093/bioinformatics/btq038
PMCID: PMC2832825

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-20130032-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

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