A ridge penalized principal-components approach based on heritability for high-dimensional data.

Abstract

OBJECTIVE To develop a ridge penalized principal-components approach based on heritability that can be applied to high-dimensional family data. METHODS The first principal component of heritability for a trait constellation is defined as a linear combination of traits that maximizes the heritability, which is equivalent to maximize the family-specific… (More)

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