Pei-Shan Fan

Dynamic graph prior-guided latent adaptation for generalizable single-cell perturbation response prediction

Abstract Motivation Predicting transcriptional responses to drug perturbations in unseen cellular contexts is a central challenge in single-cell perturbation modeling. This challenge creates a need for models that combine flexible state transitions with structured biological prior knowledge. Existing data-driven models...