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English(EN) Control-Anchored Residual Flow Matching Conditioned on Gene Geometry for Virtual Cell Perturbation Modeling

GeneGeoFlow模型利用基因几何预测细胞响应

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了GeneGeoFlow，一种预测细胞对基因和药物扰动响应的新颖方法。该方法利用来自生物网络（如基因本体论和共表达网络）的基因几何来条件化控制锚定的残差流。通过学习干预特定的转录响应，GeneGeoFlow在基准测试中取得了高Pearson Delta分数，优于将稳定的基因关系与响应通路混淆的现有基于图的模型。 AI

影响 该方法有望提高虚拟细胞建模和药物反应预测的准确性。

排序理由 该集群包含一篇详细介绍生物建模新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

GeneGeoFlow模型利用基因几何预测细胞响应

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该集群包含一篇详细介绍生物建模新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · 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 ·

    基于基因几何的控制锚定残差流匹配用于虚拟细胞扰动建模

    arXiv:2608.06824v1 Announce Type: cross Abstract: 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 gra…

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