Comparing statistical learning methods for complex trait prediction from gene expression.

Abstract excerpt

Accurate prediction of complex traits is an important task in quantitative genetics. Genotypes have been used for trait prediction using a variety of methods such as mixed models, Bayesian methods, penalized regression methods, dimension reduction methods, and machine learning methods. Recent studies have shown that gene expression levels can produce higher prediction accuracy than genotypes. However, only a few...

Topics

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

• Share to Drosophila
• Share to Drosophila melanogaster
• Share to Genotype