Genomic language model for predicting enhancers and their allele-specific activity in the human genome
Abstract Motivation Predicting and deciphering the regulatory logic of enhancers remains a significant challenge due to their complex sequence features and the absence of consistent genetic or epigenetic signatures that distinguish them from other genomic regions. Existing machine learning methods capture nucleotide co...