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Cross-Validation Without Doing Cross-Validation in Genome-Enabled Prediction

Cross-validation of methods is an essential component of genome-enabled prediction of complex traits. We develop formulae for computing the predictions that would be obtained when one or several cases are removed in the training process, to become members of testing sets, but by running the model us...

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Detalles Bibliográficos
Autores principales: Gianola, Daniel, Schön, Chris-Carolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068934/
https://www.ncbi.nlm.nih.gov/pubmed/27489209
http://dx.doi.org/10.1534/g3.116.033381

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