Article

Refining sequence-to-activity models by increasing model resolution

2025-01-27

Abstract excerpt

Decoding the cis-regulatory syntax that controls gene expression is essential for improving our understanding of cell differentiation and disease. To identify regulatory motifs and their regulatory syntax, deep learning based sequence-to-activity (S2A) models learn transcription factor binding motifs and their combinations from DNA sequence by modeling measured chromatin accessibility. Previously, we developed AI-...

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Literature Corpus work: 0d192d0e-45ab-5566-b135-2a6815910ca6
DOI: 10.1101/2025.01.24.634804

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