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Detecting Attractors in Biological Models with Uncertain Parameters

机译:在参数不确定的生物模型中检测吸引子

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Complex behaviour arising in biological systems is typically characterised by various kinds of attractors. An important problem in this area is to determine these attractors. Biological systems are usually described by highly parametrised dynamical models that can be represented as parametrised graphs typically constructed as discrete abstractions of continuous-time models. In such models, attractors are observed in the form of terminal strongly connected components (tSCCs). In this paper, we introduce a novel method for detecting tSCCs in parametrised graphs. The method is supplied with a parallel algorithm and evaluated on discrete abstractions of several non-linear biological models.
机译:生物系统中产生的复杂行为通常以各种吸引子为特征。该领域的一个重要问题是确定这些吸引子。通常用高度参数化的动力学模型来描述生物系统,该动力学模型可以表示为通常构造为连续时间模型的离散抽象的参数化图。在这样的模型中,以终端强连接组件(tSCC)的形式观察到吸引子。在本文中,我们介绍了一种在参数化图形中检测tSCC的新方法。该方法配有并行算法,并根据几种非线性生物模型的离散抽象进行了评估。

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