Princeton Professor Olga Troyanskaya presented recent research at the University’s Biomedical Data Science Day, focused on a deep learning-based algorithmic framework to predict the effect of mutations in genomic sequence without any prior information, and using these predictions to accurately prioritize disease-associated sequence variants.