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The Gene Modular Detection of Random Boolean Networks by Dynamic Characteristics Analysis

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DOI: 10.23977/jmpd.2017.11003 | Downloads: 19 | Views: 3693

Author(s)

Xueyi Bai 1, Binghui Guo 1, Xiaohui Yang 1, Wei Wei 1, Zhiming Zheng 1

Affiliation(s)

1 LMIB, BDBC and School of Mathematics and Systems Science,Beihang University, Beijing 100191, China

Corresponding Author

Binghui Guo

ABSTRACT

In the last decades, random Boolean networks have been widely used in the sociology, biology and other fields. The study of the dynamic behaviour and modularity of random Boolean networks has a very important significance, both at the theoretical level and at the application level. In this paper, based on the classical random Boolean networks, we investigate the different dynamic characteristics between random and BA Boolean networks. By proposing new update rule with three operators, we study the relationship between modularity and the robustness with different parameters and calculate the phase diagram of given scale Boolean network instances.

KEYWORDS

Gene Network, Random Boolean Networks, Robustness, Modularity.

CITE THIS PAPER

Xueyi, B. , Binghui, G. , Xiaohui, Y. , Wei, W. , Zhiming, Z. The Gene Modular Detection of Random Boolean Networks by Dynamic Characteristics Analysis. Journal of Materials, Processing and Design (2017) 1: 14-18.

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