Cross-Validation Without Doing Cross-Validation in Genome-Enabled Prediction
نویسندگان
چکیده
منابع مشابه
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 using all observations only once. Prediction methods to which the developments apply include least ...
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ژورنال
عنوان ژورنال: G3 Genes|Genomes|Genetics
سال: 2016
ISSN: 2160-1836
DOI: 10.1534/g3.116.033381