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Updated: Sep 11, 2025

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使用贝叶斯的多模型推理在系统生物学模型中增加确定性

Nathaniel Linden-Santangeli1, Jin Zhang2, Boris Kramer3

  • 1Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA, USA.

Nature communications
|August 12, 2025
PubMed
概括

贝叶斯的多模型推理 (MMI) 通过结合细胞内信号网络的多个模型来提高系统生物学预测的确定性. 这种方法提高了对数据不确定性和模型集变化的稳定性,用于信号通路分析.

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Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
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