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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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Detalles Bibliográficos
Autores principales:	Cheng, Hao, Garrick, Dorian J., Fernando, Rohan L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2017
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5414316/ https://www.ncbi.nlm.nih.gov/pubmed/28469846 http://dx.doi.org/10.1186/s40104-017-0164-6

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