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