Toward generalizable and interpretable AI in regulatory genomics - Nature

This Review surveys the current landscape of genomic artificial intelligence through the lens of sequence-to-function models, examining how architectural choices, training data, prediction tasks, model interpretation and evaluation strategies can shape their …