Oded Regev

Interpretable distillation reveals that deep learning splicing models suffer from pervasive confounders and blind spots

BACKGROUND: Predicting RNA splicing from genomic sequence is a crucial task for understanding gene regulation and interpreting genetic variation. Recent deep learning advancements have led to splicing prediction algorithms that achieve state-of-the-art performance compared to ear...