Control-Anchored Residual Flow Matching Conditioned on Gene Geometry for Virtual Cell Perturbation Modeling

arXiv:2608.06824 · q-bio.MN, cs.AI · Submitted 2026-08-07 · Read on arXiv

Quanquan Li, Yihe Chi, Liuyang Song, Hongbo Zhang, Jingyu Li, Xidong Xi, Conghua Wei, Yijie Sun, Yu Chen, Xin Liu, Qi Hu, Jing Ke, Guitao Cao

q-bio.MN, cs.AI

Submitted: 2026-08-07

Updated: 2026-08-10

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 9× in this paper · explained in 2 episodes
• Flow Matching — 9× in this paper · explained in 22 episodes
• Optimal Transport — 7× in this paper · explained in 5 episodes
• Ontology — 6× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Diffusion Process — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Ablation Study — 1× in this paper · explained in 3 episodes
• Conditional Flow Matching — 1× in this paper · explained in 2 episodes
• Disentanglement — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 5 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Flow Matching Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Maximum Mean Discrepancy (MMD) — 1× in this paper · explained in 3 episodes
• Parameterization — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 3 episodes
• Training Objective — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 16 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes

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