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Article

Ranking causal variants and associated regions in genome-wide association studies by the support vector machine and random forest.

Nucleic acids research - 1 May 2011

Roshan Usman, Chikkagoudar Satish, Wei Zhi, Wang Kai, Hakonarson Hakon

Abstract excerpt

We study the number of causal variants and associated regions identified by top SNPs in rankings given by the popular 1 df chi-squared statistic, support vector machine (SVM) and the random forest (RF) on simulated and real data. If we apply the SVM and RF to the top 2r chi-square-ranked SNPs, where r is the number of SNPs with P-values within the Bonferroni correction, we find that both improve the ranks of...

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Identifiers

PMID: 21317188
DOI: 10.1093/nar/gkr064
PMCID: PMC3089490

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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