Evolutionary transfer learning enables organism-wide inference of mammalian enhancer landscapes
Chengxiang Qiu, Riza M. Daza, Ian C. Welsh, Rupali P Patwardhan, Beth K. Martin, Tony W. Li, Shizhao Yang, Camiel C. A. Mannens, Seppe De Winter, Niklas Kempynck, Megan L. Taylor, Olivia Fulton, Truc-Mai Le, Diana R. O’Day, Jean‐Benoît Lalanne, , Jay Shendure
The paper develops STEAM, an evolution-augmented deep learning model, to predict mammalian enhancer landscapes across species using comparative genomics and single-cell data.
bioRxiv · May 27, 2026 · PreprintGenomics