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Conference Sep 2026

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 Matching (FM) methods stru...

H. Lyu, Jia-Wei Luo · 0 citations
Open access Sep 2026

scBalFlow: a staged flow matching framework for imbalanced single-cell drug perturbation prediction

Abstract Motivation Conventional drug perturbation prediction models typically employ end-to-end encoder-decoder architectures, directly mapping control samples and perturbation conditions to post-perturbation gene expression profiles. However, these approaches widely overlook the severe class imbalance inherent in per...

H. Lyu, Jia-Wei Luo · 0 citations

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