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基于改进关联规则和遗传算法的基因表达调控网络构建方法

onstructing Gene Expression Regulation Networks Based on Improved Association Rules and Genetic Algorithm

中文摘要英文摘要

本文针对基因表达调控网络的构建问题,首先改进关联规则算法,设计了遗传算法中的编译码方法、适应度函数和遗传操作,引入选优算子,以提高遗传算法的搜索效率。接着,将改进的关联规则算法和遗传算法相结合,形成了一种新的基因表达调控网络构建方法。用酵母基因表达数据进行仿真试验,发现了具有重要生物意义的规则,以此构建出了基因表达调控网络,并作了生物意义解释。理论分析和仿真实验均证实了新方法的可行性、有效性以及实际应用价值。

Based on the construction of gene expression regulation networks in this paper, association rules was firstly improved. The coding/decoding approaches, fitness function and genetic manipulation in genetic algorithm are designed. The optimum selection operator was adopted to improve the searching efficiency of genetic algorithm.Then, the improved association rule algorithm and genetic algorithm were combined to establish a novel approach for constructing gene expression regulatory networks. Finally, the simulation experiments for Yeast gene expression data showed that the gene expression regulatory networks with important biological meanings can be constructed according to the discoverable association rules. The feasibility, effectiveness and practical application values for the novel approach were verified.

袁祚涌、饶妮妮

生物科学研究方法、生物科学研究技术分子生物学生物工程学

关联规则支持度信任度遗传算法基因表达调控网络

association rulessupportconfidencegenetic algorithmgene expression regulation networks

袁祚涌,饶妮妮.基于改进关联规则和遗传算法的基因表达调控网络构建方法[EB/OL].(2007-03-13)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/200703-168.点此复制

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