English(EN) Co$^2$ODE: Conditionally Coarse-Grained Model Discovery for Rewiring in Biochemical Networks

新的Co$^2$ODE方法模拟动态生化网络

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-02 05:00

研究人员开发了一种名为Co$^2$ODE的新方法，该方法使用条件粗粒度常微分方程来模拟动态生化网络。这种方法在保持预测准确性的同时，将复杂的生物数据压缩到较低维度的状态。Co$^2$ODE特别适用于识别细胞背景如何重塑信号通路，已在来自癌症相关过表达的磷酸化蛋白质组数据上得到证明。 AI

影响该方法有望增进对复杂生物系统的理解和模拟，可能有助于药物发现和个性化医疗。

排序理由该集群包含一篇详细介绍用于生化网络建模的新颖方法（Co^2ODE）的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.LG TIER_1 English(EN) · Theodore de Pomereu, Fabian Fr\"ohlich · 2026-11-02 05:00

Co$^2$ODE: Conditionally Coarse-Grained Model Discovery for Rewiring in Biochemical Networks

arXiv:2610.41634v1 Announce Type: cross Abstract: Biochemical networks propagate the signals that regulate cellular behaviour, and which routes carry them depends on cellular context: a shift in context rewires the network's effective dynamics. Mechanistic simulators are misspeci…