聚类蛋白-蛋白相互作用网络的改进免疫遗传算法

Hamid Ravaee, A. Masoudi-Nejad, Saeed Omidi, A. Moeini
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引用次数: 10

摘要

聚类蛋白-蛋白相互作用网络旨在寻找功能模块和蛋白复合物。计算图聚类的方法很多,但智能计算方法很少。本文提出了一种基于高效疫苗接种方法、变长抗体模式定义和新的局部和全局突变的改进免疫遗传算法来寻找密集子图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved Immune Genetic Algorithm for Clustering Protein-Protein Interaction Network
Clustering protein-protein interaction network aims to find functional modules and protein complexes. There are many computational graph clustering methods that are used in this field, but few of them are intelligent computational methods. In this paper, we present a novel improved immune genetic algorithm to find dense subgraphs based on efficient vaccination method, variable-length antibody schema definition and new local and global mutations.
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