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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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| Publicado no: | Genet Sel Evol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4220066/ https://ncbi.nlm.nih.gov/pubmed/25370926 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-014-0060-x |
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