Evaluating the cross-species transferability and scaling of sequence-to-function predictions in AlphaGenome

Abstract Deep learning models that predict molecular phenotypes directly from DNA sequence offer a powerful framework for interpreting genomic variation. Recently, AlphaGenome was introduced as a deep sequence-to-function architecture capable of predicting observations that historically required exp... View More