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Article

TRM: a powerful two-stage machine learning approach for identifying SNP-SNP interactions.

Annals of human genetics - 1 Jan 2012

Lin Hui-Yi, Chen Y Ann, Tsai Ya-Yu, Qu Xiaotao, Tseng Tung-Sung, Park Jong Y

Abstract excerpt

Studies have shown that interactions of single nucleotide polymorphisms (SNPs) may play an important role in understanding the causes of complex disease. We have proposed an integrated machine learning method that combines two machine-learning methods-Random Forests (RF) and Multivariate Adaptive Regression Splines (MARS)-to identify a subset of important SNPs and detect interaction patterns more effectively and...

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Identifiers

PMID: 22150548
DOI: 10.1111/j.1469-1809.2011.00692.x
PMCID: PMC3243917

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