An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data
Abstract Background The ability to accurately predict essential genes intolerant to loss-of-function (LOF) mutations can dramatically improve the identification of disease-associated genes.Recently, there have been numerous computational methods developed to predict human essential genes from population Collections genomic data.While the existing m