The Gene Modular Detection of Random Boolean Networks by Dynamic Characteristics Analysis
DOI: 10.23977/jmpd.2017.11003 | Downloads: 26 | Views: 5049
Xueyi Bai 1, Binghui Guo 1, Xiaohui Yang 1, Wei Wei 1, Zhiming Zheng 1
1 LMIB, BDBC and School of Mathematics and Systems Science,Beihang University, Beijing 100191, China
Corresponding AuthorBinghui Guo
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.
KEYWORDSGene 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.
 Ma XK. Models and Algorithms for Community Structure Detection in Complex Networks and Applications in Biological Networks[D]. Xidian University. 2014.
 Luo C. Research on some problems in chaos and asynchronous Boolean networks[D]. Dalian University of Technology. 2013.
 Luque B, Solé R V. Controlling chaos in random Boolean networks[J]. EPL (Europhysics Letters), 1997, 37(9): 597.
 Wang XH, Wang X, Liu LL, Xu P, Liu WB. Research on dynamic behavior of Boolean networks[J]. Journal of Zhejiang Normal University(Nat. Sci). 2012. 35(1):47-52. DOI:10.3969/j.issn.1001-5051.2012.01.009.
 Lloyd-Price J, Gupta A, Ribeiro A S. Robustness and Information Propagation in Attractors of Random Boolean Networks[J]. Plos One, 2012, 7(7).
 Meng Y. The study on the robust of genetic regulatory network by boolean network model[D]. Central China Normal University. 2011. DOI:10.7666/d.y1897759.
 Liu JX. The Research on Detecting Community Structure of Complex Networks and its Application in Financial Networks[D]. Lanzhou University of Technology. 2013.
 Tian Y, Liu DY, Yang B. Application of Complex Networks Clustering Algorithm in Biological Networks[J]. Journal of Frontiers of Computer Science and Technology. 2010. 4(4):330-337. DOI:10.3778/j.issn.1673-9418.2010.04.005.
 Chen Y. The Construction and Application Research of Complex Gene Logical Networks[D]. Beijing University of Technology. 2009.
 Zhao K, Zhang SW, Pan Q. Identification of Overlapping Clusters in Complex Networks Using Symmetrical Nonnegative Matrix Factorization[J]. Computer Measurement and Control. 2010. 18(12):2872-2874.