This work was supported by grants from The National Natural Science Foundation of China(60873146, 60973092, 60903097, 61172183), Hi-Tech Research and Development Program of China (2009AA02Z307), Project of Science and Technology Innovation Platform of Computing and Software Science (985 Engineering), The Key Laboratory for Symbol Computation and Knowledge Engineering of the National Education Ministry of China, Graduate Innovation Fund of Jilin University (20111062) and Natural Science Foundation of Jilin Province (20101503)
In this paper, a novel scale-free network construction algorithm based on reconnection method was proposed. The regulatory node of the new node will be reselected according to the reconnection method. The probability of reconnection depends on the gamma in the power-law distribution model parameters. The constructed network with our algorithm was used for simulating gene expression profiles using differential equation model with two heuristic search algorithms, GA and PSO, and new algorithm GFA to optimize the criterion. The candidate old node can be selected as regulatory node based on the number of links the old node already has. The network in the experiment was testified using log-log graph. And the simulated gene expression profiles were also tested with three different well developed algorithms' software available free from internet by reconstructing the network. PPV and Se of the links were calculated and visualized. A part of the results and the full version program written by java could be downloaded from our website: http://ccst.jlu.edu.cn/CSBG/ourown/.
ZHENG Ming, HUANG Yan-Xin, SHEN Wei, ZHONG Yi, WU Jia-Nan, LIU Gui-Xia, ZHOU You. A Novel Scale-free Network Construction Method and Its Application in Gene Expression Profiles Simulation[J]. Progress in Biochemistry and Biophysics,2012,39(6):581-590
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