Article
SNP interaction detection with Random Forests in high-dimensional genetic data.
BMC bioinformatics - 15 Jul 2012
Winham Stacey J, Colby Colin L, Freimuth Robert R, Wang Xin, de Andrade Mariza, Huebner Marianne, Biernacka Joanna M
Abstract excerpt
BACKGROUND: Identifying variants associated with complex human traits in high-dimensional data is a central goal of genome-wide association studies. However, complicated etiologies such as gene-gene interactions are ignored by the univariate analysis usually applied in these studies. Random Forests (RF) are a popular data-mining technique that can accommodate a large number of predictor variables and allow for...
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