Tricked by Edge Cases: Can Current Approaches Lead to Accurate Prediction of T-Cell Specificity with Machine Learning?
Martin Culka, Jonathan Desponds, Jeanne Cheung, Mayra Cruz Tleugabulova, Shirley Ng Palace, Martine Darwish, Roman A. Smirnov, Evgeniy Tabatsky, Geraldine Strasser, Andréy S. Shaw, Ira Mellman, Andrei Chernyshev, Darya Yu. Orlova
This paper evaluates machine learning approaches for predicting T-cell receptor specificity, highlighting limitations in current data and methods, and proposes a new framework integrating biophysical measurements.
bioRxiv · Oct 23, 2024 · PreprintImmunology