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PC-DOT: Improving genomic prediction ability of principal component regression by DOT product.

Animal genetics - 1 Dec 2022

Sun Hao, Wei Meng, Xu Zhong, Bai Chunyan, Sun Boxing

Abstract excerpt

Principal component regression (PC regression) is a useful method developed for prediction based on a dimension-reducing strategy. Generally, the principal components (PCs) are added to the regression model one by one based on the eigenvalue (PC-Eigen). Considering that some PCs with large eigenvalues may be poorly associated with the response variable, the PC-Eigen may not be the best framework. Researchers...

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PMID: 36168679
DOI: 10.1111/age.13255

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