Author

Hao-Jie Yang

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#artificial intelligence Preprint Sep 2026

MRFlow: Mechanism-Structured Residual Flow Matching for Virtual Cell Perturbation Prediction

Predicting cellular responses to chemical and genetic perturbations is a central test for AI virtual cells, yet many single-cell models reduce each condition to an average expression shift. This target is misaligned with perturbation biology: rare states, resistant subpopulations, and context-dependent effect sizes may...

Hao-Jie Yang, Ran Su · 0 citations

#artificial intelligence Preprint Sep 2026

P2P: Cross-View Population Denoising for Unpaired Single-Cell Perturbation Response Prediction

AIVC (AI Virtual Cell) is a learned simulator of cellular behavior across conditions, and P2P (Perturbation-to-Perturbation) takes a stochastic cell-set view as its supervision unit, which attains the lowest expression RMSE and the highest Effect Pearson, DEG F1, and DEG average precision.

Hao-Jie Yang, Ran Su · 0 citations