Article
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies.
BMC bioinformatics - 12 Jan 2011
Mourad Raphaël, Sinoquet Christine, Leray Philippe
Abstract excerpt
BACKGROUND: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1 million genetic markers) and its complexity make the statistical analysis a challenging task. RESULTS: We present an accurate modeling of dependences between genetic markers, based on a forest of hierarchical latent class models which...
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