tangermeme: A toolkit for understanding cis-regulatory logic using deep learning models

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Abstract

Deep learning models have achieved state-of-the-art performance at predicting diverse genomic modalities, yet their promise for biological discovery lies in how they are used \textit{after} demonstrating their predictive performance. Here, we describe the functionality of tangermeme, a highly optimized toolkit for "everything-but-the-model" when it comes to genomic deep learning, and demonstrate how tangermeme can be used to distill the learned cis-regulatory patterns from models into human-interpretable insights.

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