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Deep learning (DL) is a distinct class of machine learning that has achieved first-class performance in many fields of study. For epigenomics, the application of DL to assist physicians and scientists in human disease-relevant prediction tasks has been relatively unexplored until very recently. In this article, we critically review published studies that employed DL models to predict disease detection, subtype classification, and treatment responses, using epigenomic data. A comprehensivedoi:10.3390/biomedicines9111733 pmid:34829962 pmcid:PMC8615388 fatcat:oqgigce2bvaitl5sjflutsccsm