基于基因-疾病网络的重叠社区发现算法研究  

Study on Overlapping Community Discovery Algorithms Based on the Gene-disease Network

作　　者：戴彩艳[1] 何菊[1] 胡孔法[1] 丁有伟 DAI Cai-yah;HE Ju;HU Kong-fa;DING You-wei(College of Information Technology,Nanfing University of Chinese Medicine,Nanfing 210016,China)

机构地区：[1]南京中医药大学信息技术学院,南京210016

出　　处：《医学信息学杂志》2018年第10期63-68,共6页Journal of Medical Informatics

基　　金：江苏省高校自然科学基金项目"基于动态蛋白质网络进行复合物挖掘及功能预测算法研究"(项目编号:18KJB520040);国家自然科学基金项目"面向中医临床大数据的现代名老中医肺癌辨治规律并行挖掘策略及方法学研究"(项目编号:81674099);"基于计算智能的心系基础证量化诊断方法学研究"(项目编号:81503499)

摘　　要：介绍基因-疾病网络以及社区挖掘方法的基本概念,阐述基于基因-疾病网络的重叠社区发现交叉迭代方法过程及框架并进行实验验证,揭示基因-疾病之间存在的关系,为生物学和临床医学的诊断以及药物开发等方面提供理论指导。The paper introduces the basic concepts of the gene-disease network and the community mining method, sets forth the overlapping community discovery cross iteration method process and framework based on the gene-disease network, carries out the experimental verification, as well as reveals the relation between genes and diseases, so as to provide theoretical instructions for diagnosis of biology and clinical medicine and drug development.

关 键 词：基因-疾病网络 社团结构 交叉迭代算法 重叠社区 

分 类 号：R-056[医药卫生]