Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean

Genomic selection uses single-nucleotide polymorphisms (SNPs) to predict quantitative phenotypes for enhancing traits in breeding populations, and it has been widely used to increase breeding efficiency for plants and animals. Existing statistical methods rely on a prior distribution assumption of imputed genotype effects, which may not fit experimental datasets. Emerging deep learning could serve as a powerful machine learning tool to predict...