Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models
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Deep neural networks (DNNs) have greatly advanced the ability to predict genome function from sequence. However, elucidating underlying biological mechanisms from genomic DNNs remains challenging. Existing interpretability methods, such as attribution maps, ha... ...
