Article
A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies.
BMC bioinformatics - 31 Oct 2012
Zuber Verena, Duarte Silva A Pedro, Strimmer Korbinian
Abstract excerpt
BACKGROUND: Identification of causal SNPs in most genome wide association studies relies on approaches that consider each SNP individually. However, there is a strong correlation structure among SNPs that needs to be taken into account. Hence, increasingly modern computationally expensive regression methods are employed for SNP selection that consider all markers simultaneously and thus incorporate dependencies...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.