Mining pure, strict epistatic interactions from high-dimensional datasets: ameliorating the curse of dimensionality.

Abstract excerpt

BACKGROUND: The interaction between loci to affect phenotype is called epistasis. It is strict epistasis if no proper subset of the interacting loci exhibits a marginal effect. For many diseases, it is likely that unknown epistatic interactions affect disease susceptibility. A difficulty when mining epistatic interactions from high-dimensional datasets concerns the curse of dimensionality. There are too many...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Alzheimer Disease
• Share to Bayes Theorem