A knowledge-driven framework for predicting single-cell responses for unprofiled drugs
An artificial intelligence framework that integrates biological mechanism knowledge to predict how cells respond to chemical perturbation, improving generalization to untested drugs and prioritizing cancer drug candidates in virtual screening is introduced.