Table 2 Prediction performance in terms of Pearson’s correlation reported by McDowell (2016); A). Prediction performance in terms of Pearson’s correlation reported by Bellot et al. (2018); B) for traits height and heel bone mineral density. In set “BEST,” the 10 k or 50 k were chosen the top most-associated SNPs, with k = 1000, with the lowest P-values in a GWAS on the TRN set for each trait. In set “UNIF,” the genome was split in windows of equal physical length and the most associated SNP within each window was chosen. MLP denotes multilayer perceptron and CNN convolutional neural networks

From: A review of deep learning applications for genomic selection