SMFNet models chromatin states at single-molecule resolution, bridging ML and biophysics
anshulkundaje · x · 2026-11-06
Anshul Kundaje's team (Stanford/EMBL) introduced SMFNet, which leverages single molecule footprinting to interrogate gene regulation at single-molecule resolution and model the full distribution of chromatin states rather than averages. The authors expect such models to unlock new regulatory insights and further unify ML and biophysics. Work led by Till Schwämmle in collaboration with SMF pioneer Arnaud Krebs, supported by the EMBL–Stanford Alliance co-advised postdoc program.
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