A review of deep learning applications for genomic selection - Montesinos-López, Osval Antonio; Montesinos-López, Abelardo; Pérez-Rodríguez, Paulino; Barrón-López, José Alberto; Martini, Johannes W. R.; Fajardo-Flores, Silvia Berenice; Gaytan-Lugo, Laura S.; Santana-Mancilla, Pedro C.; Crossa, José (BMC genomics, 2021)
Keywords: Algorithms; Animal breeding; Animal Genetics and Genomics; Animals; Artificial intelligence; Barley; Bayes Theorem; Bayesian analysis; Biomedical and Life Sciences; Deep Learning; Deoxyribonucleic acid; DNA; DNA methylation; Drought; Evaluation; Gene expression; Genetic aspects; Genome; Genomes; Genomic selection; Genomic trends; Genomics; Learning algorithms; Life Sciences; Machine learning; Mathematical models; Microarrays; Microbial Genetics and Genomics; Models, Genetic; Natural language processing; Neural networks; Neurons; Phenotype; Plant breeding; Plant Genetics and Genomics; Plant genomics; Prediction models; Proteomics; Review; Selection, Genetic; Technology application; Training; Mexico; Deep learning; Plant breeding; Genomic trends; Genomic selection