Article
Selecting informative traits for multivariate quantitative trait locus mapping helps to gain optimal power.
Genetics - 1 Nov 2013
Cheng Riyan, Borevitz Justin, Doerge R W
Abstract excerpt
A major consideration in multitrait analysis is which traits should be jointly analyzed. As a common strategy, multitrait analysis is performed either on pairs of traits or on all of traits. To fully exploit the power of multitrait analysis, we propose variable selection to choose a subset of informative traits for multitrait quantitative trait locus (QTL) mapping. The proposed method is very useful for achieving...
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