论文信息 - Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction - 字舞流文

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

R. Fernando | D. Garrick | Hao Cheng

[1] R. Fernando,et al. XSim: Simulation of Descendants from Ancestors with Sequence Data , 2015, G3: Genes, Genomes, Genetics.

[2] D. Garrick,et al. Technical note: Derivation of equivalent computing algorithms for genomic predictions and reliabilities of animal merit. , 2009, Journal of dairy science.

[3] Abel M. Rodrigues. Matrix Algebra Useful for Statistics , 2007 .

[4] M. Goddard,et al. Prediction of total genetic value using genome-wide dense marker maps. , 2001, Genetics.

[5] A. Nejati-Javaremi,et al. Effect of total allelic relationship on accuracy of evaluation and response to selection. , 1997, Journal of animal science.

[6] David M. Allen,et al. The Relationship Between Variable Selection and Data Agumentation and a Method for Prediction , 1974 .

[7] C. R. Henderson. Applications of linear models in animal breeding , 1984 .