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Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction
BACKGROUND: A random multiple-regression model that simultaneously fit all allele substitution effects for additive markers or haplotypes as uncorrelated random effects was proposed for Best Linear Unbiased Prediction, using whole-genome data. Leave-one-out cross validation can be used to quantify t...
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Publicado no: | J Anim Sci Biotechnol |
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Main Authors: | , , |
Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
BioMed Central
2017
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5414316/ https://ncbi.nlm.nih.gov/pubmed/28469846 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40104-017-0164-6 |
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