生物学杂志

• 综述与专论 • 上一篇    下一篇

生物网络关键节点识别方法研究进展

  

  1. 池州学院 数学与计算机学院,池州 247000
  • 出版日期:2017-08-18 发布日期:2017-08-18
  • 作者简介:彭秀芬, 讲师, 硕士, 主要研究领域为生物信息学、计算机应用,E-mail:xiufenpeng@qq.com
  • 基金资助:
    安徽省高校省级优秀青年人才基金重点项目(生物网络的随机Petri网模型构建与分析,2013SQRL096ZD);池州学院自然科学研究项目(2013ZRZ003);安徽省教育厅自然科学重点项目(KJ2015A264)

Methods for the identification of key nodes in bionetworks

  1. College of Mathematics and Computer Science, Chizhou University, Chizhou 247000, China
  • Online:2017-08-18 Published:2017-08-18

摘要: 生物网络是一类典型的复杂网络,其关键节点的识别方法大多来自于其他复杂网络的研究。首先举例分析了复杂网络中常用的几种判断节点关键性的指标,然后总结了几种生物网络关键节点的识别方法,指出了生物网络节点关键性识别与其他复杂网络的区别及今后研究的方向。

关键词: 图论, 复杂网络, 中心性指标, 生物网络, 关键节点

Abstract: tBiological network is a kind of typical complex network, thus the methods for identifying of the key nodes in biological networks are mainly from general complex network methods. This paper introduces several methods for the key indicators in the general complex networks, and then sums up the methods for the identification of key nodes in biological networks. It points out the differences between the biological network key nodes recognition and other general complex networks. The research directions is also discussed.

Key words: graph theory, complex network, centrality index, biological network, key node