Hanwen Lyu

sc2Flow: Mitigating Mean Prediction Bias in Single-Cell Perturbation with Dual-Stage Flow Matching

Predicting single-cell gene responses to chemical perturbations is vital for personalized therapy, yet existing deep learning models face significant hurdles. Standard regression-based approaches suffer from "mean prediction bias," failing to capture cellular heterogeneity, while current Flow Matchi