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arXiv 1011.4682cs.NEnlin.CDphysics.bio-phq-bio.QM
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随机布尔网络中吸引子距离的分析

Analysis of attractor distances in Random Boolean Networks

Andrea Roli, Stefano Benedettini, Roberto Serra, Marco Villani

摘要:

我们研究了随机布尔网络中吸引子之间的距离的性质,随机布尔网络是遗传调控网络的一个突出模型。我们定义了三种距离测度,在此基础上构造了吸引子距离矩阵,并计算了它们的主要统计参数。实验分析表明,有序网络有一个非常聚集的吸引子集,而混沌网络的吸引子是分散的;关键网络显示,相反,一个模式的特点,有序和混沌网络。

英文摘要:

We study the properties of the distance between attractors in Random Boolean Networks, a prominent model of genetic regulatory networks. We define three distance measures, upon which attractor distance matrices are constructed and their main statistic parameters are computed. The experimental analysis shows that ordered networks have a very clustered set of attractors, while chaotic networks' attractors are scattered; critical networks show, instead, a pattern with characteristics of both ordered and chaotic networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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