Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction.

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第一作者： Hao,Cheng

第一单位： Department of Animal Science, Iowa State University, Ames, 50011 Iowa USA.

作者： Hao,Cheng ^[1] ; Dorian J,Garrick ^[2] ; Rohan L,Fernando ^[1]

作者单位： Department of Animal Science, Iowa State University, Ames, 50011 Iowa USA. ^[1] Department of Statistics, Iowa State University, Ames, 50011 Iowa USA. ^[2] Institute of Veterinary, Animal & Biomedical Science, Massey University, Palmerston North, New Zealand. ^[3]

关键词 GBLUP Leave-one-out cross validation

DOI 10.1186/s40104-017-0164-6

PMID 28469846

发布时间 2022-04-08

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Journal of animal science and biotechnology

2017年8卷

38页

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Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction.

Journal of animal science and biotechnology

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Journal of animal science and biotechnology

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Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction.

Journal of animal science and biotechnology

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Journal of animal science and biotechnology

相关期刊

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