Article
Application of machine learning in SNP discovery.
BMC bioinformatics - 6 Jan 2006
Matukumalli Lakshmi K, Grefenstette John J, Hyten David L, Choi Ik-Young, Cregan Perry B, Van Tassell Curtis P
Abstract excerpt
BACKGROUND: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given species. Polymorphism detection software PolyBayes and PolyPhred give high false positive SNP predictions even with stringent parameter values. We developed a machine learning (ML) method to augment PolyBayes to improve its prediction...
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