Now showing items 1-3 of 3
A review of deep learning applications for genomic selection
(BioMed Central, 2021)
Application of multi-trait Bayesian decision theory for parental genomic selection
(Genetics Society of America, 2021)
Genomic-enabled prediction with classification algorithms
(Springer Nature, 2014)
Pearson’s correlation coefficient (ρ) is the most commonly reported metric of the success of prediction in genomic selection (GS). However, in real breeding ρ may not be very useful for assessing the quality of the regression ...