Article
A cellular automata approach to detecting interactions among single-nucleotide polymorphisms in complex multifactorial diseases.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2002
Moore Jason H, Hahn Lance W
Abstract excerpt
The identification and characterization of susceptibility genes for common complex multifactorial human diseases remains a statistical and computational challenge. Parametric statistical methods such as logistic regression are limited in their ability to identify genes whose effects are dependent solely or partially on interactions with other genes and environmental exposures. We introduce cellular automata (CA)...
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