Article
Application of support vector regression to genome-assisted prediction of quantitative traits.
TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik - 1 Nov 2011
Long Nanye, Gianola Daniel, Rosa Guilherme J M, Weigel Kent A
Abstract excerpt
A byproduct of genome-wide association studies is the possibility of carrying out genome-enabled prediction of disease risk or of quantitative traits. This study is concerned with predicting two quantitative traits, milk yield in dairy cattle and grain yield in wheat, using dense molecular markers as predictors. Two support vector regression (SVR) models, ε-SVR and least-squares SVR, were explored and compared to...
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