布尔网络中的表型控制和变量消除

Elisa Tonello, Loïc Paulevé
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引用次数: 0

摘要

我们研究了消除变量如何影响布尔网络的渐近动力学和表型控制。特别是,我们研究了消除变量对最小陷阱空间的影响,并确定了保证最小陷阱空间保持不变的结构条件。我们研究了变量消除在三种最流行的控制方法(基于吸引子的控制、值传播和最小陷阱空间控制)和不同更新方案(同步、异步、广义异步)下可能产生的影响。我们对还原法的应用提出了一些见解,并列举了大量实例和反例。
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Phenotype control and elimination of variables in Boolean networks
We investigate how elimination of variables can affect the asymptotic dynamics and phenotype control of Boolean networks. In particular, we look at the impact on minimal trap spaces, and identify a structural condition that guarantees their preservation. We examine the possible effects of variable elimination under three of the most popular approaches to control (attractor-based control, value propagation and control of minimal trap spaces), and under different update schemes (synchronous, asynchronous, generalized asynchronous). We provide some insights on the application of reduction, and an ample inventory of examples and counterexamples.
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