Control-Anchored Residual Flow Matching Conditioned on Gene Geometry for Virtual Cell Perturbation Modeling
A central task in virtual cell modeling is predicting single-cell transcriptional responses to unseen genetic perturbations and drug combinations, and biological networks provide valuable priors on gene relationships. Existing graph-based models commonly use the same network to structure gene representations and mediate intergene interactions, thereby implicitly treating stable associations as perturbation-response pathways. Gene Ontology and control-derived coexpression networks encode relative
Record details
Published: 7 August 2026
Source: arXiv
Category: Research
Topics: Healthcare · Biotech
Retrieved: 10 August 2026
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ethics.ai (7 August 2026), “Control-Anchored Residual Flow Matching Conditioned on Gene Geometry for Virtual Cell Perturbation Modeling,” evidence record 17824, https://ethics.ai/record/17824 (originally published by arXiv).
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