Interpretable Distillation Reveals that Deep-learning-based Splicing Models Suffer from Pervasive Confounders and Blind Spots
Simon Liu, Wenjing Zhang, Oded Regev
This study reveals that deep-learning-based RNA splicing models have confounders and blind spots, leading to poor performance on non-reference sequences.