Genomic prediction using machine learning: a comparison of the performance of regularized regression, ensemble, instance-based and deep learning methods on synthetic and empirical data

Topics

genomic prediction · genomic selection · molecular markers · regularized regression · ensemble learning · instance-based learning · deep learning · adaptive regularization · group regularization · linear mixed model · breeding value · high dimensional data · computational performance · Predictive accuracy · simulated animal breeding dataset · empirical maize breeding datasets · commercial breeding program · target trait dependence · model complexity · supervised machine learning methods