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

中图分类号: 

• TP391.41