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Analysis of feedback loops and robustness in network evolution based on Boolean models

机译:基于布尔模型的网络演化中的反馈环和鲁棒性分析

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摘要

BackgroundMany biological networks such as protein-protein interaction networks, signaling networks, and metabolic networks have topological characteristics of a scale-free degree distribution. Preferential attachment has been considered as the most plausible evolutionary growth model to explain this topological property. Although various studies have been undertaken to investigate the structural characteristics of a network obtained using this growth model, its dynamical characteristics have received relatively less attention.
机译:背景技术许多生物网络(例如蛋白质-蛋白质相互作用网络,信号网络和代谢网络)具有无标度分布的拓扑特征。优先依附被认为是解释这种拓扑特性的最合理的进化增长模型。尽管已经进行了各种研究来研究使用该增长模型获得的网络的结构特征,但是其动态特征却受到的关注相对较少。

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