A comparison of principal component regression and genomic REML for genomic prediction across populations

BACKGROUND: Genomic prediction faces two main statistical problems: multicollinearity and n ≪ p (many fewer observations than predictor variables). Principal component (PC) analysis is a multivariate statistical method that is often used to address these problems. The objective of this study was to...

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Detalles Bibliográficos
Autores principales: Dadousis, Christos, Veerkamp, Roel F, Heringstad, Bjørg, Pszczola, Marcin, Calus, Mario PL
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220066/
https://www.ncbi.nlm.nih.gov/pubmed/25370926
http://dx.doi.org/10.1186/s12711-014-0060-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220066/
https://www.ncbi.nlm.nih.gov/pubmed/25370926
http://dx.doi.org/10.1186/s12711-014-0060-x

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