Principal component regression

Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs

C. F. Azevedo, Nascimento, M., Silva, F. F., Resende, M. D. V., Lopes, P. S., Guimarães, S. E. F., and Glória, L. S., Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs, vol. 14, pp. 12217-12227, 2015.

A significant contribution of molecular genetics is the direct use of DNA information to identify genetically superior individuals. With this approach, genome-wide selection (GWS) can be used for this purpose. GWS consists of analyzing a large number of single nucleotide polymorphism markers widely distributed in the genome; however, because the number of markers is much larger than the number of genotyped individuals, and such markers are highly correlated, special statistical methods are widely required.

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