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计算机工程 ›› 2009, Vol. 35 ›› Issue (20): 181-183. doi: 10.3969/j.issn.1000-3428.2009.20.064

• 人工智能及识别技术 • 上一篇    下一篇

基于改进PSO的基因调控网络重构方法

蒋 炜,彭新一,周育人   

  1. (华南理工大学计算机科学与工程学院,广州 510006)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-10-20 发布日期:2009-10-20

Reconstruction Method of Gene Regulatory Network Based on Modified Particle Swarm Optimization

JIANG Wei, PENG Xin-yi, ZHOU Yu-ren   

  1. (School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-10-20 Published:2009-10-20

摘要: 提出一种基于改进粒子群优化算法的基因调控网络重构方法。该方法利用粒子群优化算法确定加权矩阵模型的最优结构及参数,从而推测出与实验数据相吻合的加权矩阵,实现利用重构的加权矩阵模型模拟基因调控网络的相互作用。实验结果表明,该方法能有效推理出复杂的基因调控网络结构。

关键词: 粒子群优化算法, 基因调控网络, 加权矩阵模型, 重构

Abstract: This paper presents reconstruction method of Gene Regulatory Network(GRN) based on Modified Particle Swarm Optimization (MPSO). It uses PSO to identify the optimal architecture and parameter of the weight matrices model, so that a recurrent neural network consistent with experimental data is inferred, and uses weight matrices model to simulate GRN. Experimental results show that the method is effective to infer complex interaction such as GRN.

Key words: Particle Swarm Optimization(PSO), Gene Regulatory Network(GRN), weight matrices model, reconstruction

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