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Transcription initiation is a key marker of active enhancers and promoters. Here we describe an atlas of efficient and interpretable deep learning models trained on over 200 transcription initiation profiling experiments representing all major human organs and many cancer types. We show that our models accurately predict initiation patterns from local DNA sequence and decode their sequence determinants across diverse cellular contexts.
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He et al. (2026) studied this question.
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