Disease variant prediction with deep generative models of evolutionary data - Frazer, Jonathan; Notin, Pascal; Dias, Mafalda; Gomez, Aidan; Min, Joseph K.; Brock, Kelly; Gal, Yarin; Marks, Debora S. (Nature (London), 2021)
Keywords: 631/114/1305; 631/114/2397; 631/208/2489/144; 631/208/726/649; 692/308/2056; Accuracy; Amino acids; Bayes Theorem; Biological Assay; Classification; Computer applications; Disease; Disease - genetics; Evolution; Evolution, Molecular; Experiments; Genes; Genetic diversity; Genetic Fitness - genetics; Genetic Predisposition to Disease - genetics; Genetic variance; Genetic Variation; Genomes; Humanities and Social Sciences; Humans; Labels; Learning algorithms; Machine learning; Modelling; Models, Molecular; multidisciplinary; Pathogenicity; Pathogens; Phenotype; Population; Proteins; Proteins - genetics; Proteins - metabolism; Science; Science (multidisciplinary); Selection, Genetic; Unsupervised Machine Learning