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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Genetics Society of America
2016
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| 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 |