Multi-element probabilistic collocation for sensitivity analysis in cellular signalling networks
Multi-element probabilistic collocation for sensitivity analysis in cellular signalling networks
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DOI：
10.1049/iet-syb.2008.0126
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发表时间：
2009-07-01
影响因子：
2.3
通讯作者：
Karniadakis, G. E.
中科院分区：
文献类型：
--
作者：
Foo, J.;Sindi, S.;Karniadakis, G. E.
将多元概率配置法(ME-PCM)作为一种应用于蜂窝信令网络的微分方程模型灵敏度分析的工具。该方法利用一种简单、有效的采样算法来量化整个参数空间的局部敏感度。介绍了ME-PCM在先前发表的细胞凋亡信号网络的常微分方程式模型中的应用。作者验证了与先前确定的敏感区的一致性，然后用ME-PCM对该区域进行了更详细的分析。作者通过使用系统中各种与生物相关的标记来研究系统的灵敏度，如一个(或多个)化学物种随时间的变化，以及单一化学物种的总暴露，从而证明了ME-PCM的一般性。
The multi-element probabilistic collocation method (ME-PCM) as a tool for sensitivity analysis of differential equation models as applied to cellular signalling networks is formulated. This method utilises a simple, efficient sampling algorithm to quantify local sensitivities throughout the parameter space. The application of the ME-PCM to a previously published ordinary differential equation model of the apoptosis signalling network is presented. The authors verify agreement with the previously identified regions of sensitivity and then go on to analyse this region in greater detail with the ME-PCM. The authors demonstrate the generality of the ME-PCM by studying sensitivity of the system using a variety of biologically relevant markers in the system such as variation in one (or many) chemical species as a function of time, and total exposure of a single chemical species.