English(EN) MRFlow: Mechanism-Structured Residual Flow Matching for Virtual Cell Perturbation Prediction

MRFlow AI模型推进虚拟细胞扰动预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-15 04:00

研究人员推出MRFlow，一种用于预测细胞对扰动响应的新型AI模型。与平均表达变化的先前模型不同，MRFlow将预测视为变分潜在状态空间内的条件传输。它将预测分解为共享的潜在响应算子和特定于条件的校正，分别通过图卷积网络和Morgan指纹纳入遗传和化学扰动。MRFlow在八个基准测试中取得了最高的综合分数，证明了其在扰动感知虚拟细胞建模中的有效性。 AI

影响通过提高虚拟细胞扰动预测的准确性，推动了AI驱动的生物模拟和药物发现。

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arXiv cs.AI TIER_1 English(EN) · Haojie Yang, Ran Su · 2026-10-15 04:00

MRFlow：用于虚拟细胞扰动预测的机制结构残差流匹配

arXiv:2610.13966v1 Announce Type: cross Abstract: 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 perturbat…

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MRFlow：用于虚拟细胞扰动预测的机制结构残差流匹配

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