AI learns from chromatin data to uncover gene interactions

Alicja Brożek and Christina V. Theodoris ()

Nature, 2025, vol. 637, issue 8047, 799-800

Abstract: An artificial-intelligence model trained on data about where DNA is tightly packaged and where it is open to regulators can predict gene expression and interactions between transcription factors that regulate key genes.

Keywords: Epigenetics; Machine learning; Genetics; Computational biology and bioinformatics (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1038/d41586-024-04107-5

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