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Identification of function modules in protein-protein interaction networks by modularity optimization method

机译:模块化优化方法识别蛋白质相互作用网络中的功能模块

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摘要

It is of great significance to understand the organization and function of the biological system by identifying function modules in protein-protein interaction (PPI) networks. One of important features of PPI networks is large-scale. In this paper, we propose the modules detection method for PPI networks based on modularity optimization. The biolbiologicalogical explanations of the función modules are analyzed based on Gene Ontology(GO). The experimental results show that most of the detected modules have high match ratio and biological significance no matter what the ontology analysis form. In terms of node loss ratio, the modularity optimization methods are much better than the clique percolation clustering method(CPM).
机译:通过识别蛋白质-蛋白质相互作用(PPI)网络中的功能模块,了解生物系统的组织和功能具有重要意义。 PPI网络的重要特征之一是大规模。本文提出了一种基于模块化优化的PPI网络模块检测方法。基于基因本体论(GO)分析了功能模块的生物学生物学解释。实验结果表明,无论本体分析形式如何,大多数检测到的模块具有较高的匹配率和生物学意义。就节点损失率而言,模块化优化方法要比团簇渗透聚类方法(CPM)好得多。

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