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Article

An empirical comparison of several recent epistatic interaction detection methods.

Bioinformatics (Oxford, England) - 1 Nov 2011

Wang Yue, Liu Guimei, Feng Mengling, Wong Limsoon

Abstract excerpt

MOTIVATION: Many new methods have recently been proposed for detecting epistatic interactions in GWAS data. There is, however, no in-depth independent comparison of these methods yet. RESULTS: Five recent methods-TEAM, BOOST, SNPHarvester, SNPRuler and Screen and Clean (SC)-are evaluated here in terms of power, type-1 error rate, scalability and completeness. In terms of power, TEAM performs best on data with...

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PMID: 21903628
DOI: 10.1093/bioinformatics/btr512

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

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