Uncovering complementary sets of variants for predicting quantitative phenotypes.

Abstract excerpt

MOTIVATION: Genome-wide association studies show that variants in individual genomic loci alone are not sufficient to explain the heritability of complex, quantitative phenotypes. Many computational methods have been developed to address this issue by considering subsets of loci that can collectively predict the phenotype. This problem can be considered a challenging instance of feature selection in which the...

Topics

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

• Share to Algorithms
• Share to Genome, Human
• Share to Genome-Wide Association Study