Article
Screening large-scale association study data: exploiting interactions using random forests.
BMC genetics - 10 Dec 2004
Lunetta Kathryn L, Hayward L Brooke, Segal Jonathan, Van Eerdewegh Paul
Abstract excerpt
BACKGROUND: Genome-wide association studies for complex diseases will produce genotypes on hundreds of thousands of single nucleotide polymorphisms (SNPs). A logical first approach to dealing with massive numbers of SNPs is to use some test to screen the SNPs, retaining only those that meet some criterion for further study. For example, SNPs can be ranked by p-value, and those with the lowest p-values retained....
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