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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:G3 (Bethesda)
Egile Nagusiak: Gianola, Daniel, Schön, Chris-Carolin
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Genetics Society of America 2016
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC5068934/
https://ncbi.nlm.nih.gov/pubmed/27489209
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.116.033381
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