Article
Hierarchical Naive Bayes for genetic association studies.
BMC bioinformatics - 1 Jan 2012
Malovini Alberto, Barbarini Nicola, Bellazzi Riccardo, de Michelis Francesca
Abstract excerpt
BACKGROUND: Genome Wide Association Studies represent powerful approaches that aim at disentangling the genetic and molecular mechanisms underlying complex traits. The usual "one-SNP-at-the-time" testing strategy cannot capture the multi-factorial nature of this kind of disorders. We propose a Hierarchical Naïve Bayes classification model for taking into account associations in SNPs data characterized by Linkage...
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