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Article

Genomic selection using principal component regression.

Heredity - 1 Jul 2018

Du Caroline, Wei Julong, Wang Shibo, Jia Zhenyu

Abstract excerpt

Many statistical methods are available for genomic selection (GS) through which genetic values of quantitative traits are predicted for plants and animals using whole-genome SNP data. A large number of predictors with much fewer subjects become a major computational challenge in GS. Principal components regression (PCR) and its derivative, i.e., partial least squares regression (PLSR), provide a solution through...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29713089
DOI: 10.1038/s41437-018-0078-x
PMCID: PMC5997717

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