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基于蛋白质网络的模块动态特性挖掘研究 被引量：1

Analyzing dynamic properties of modules in PPI network
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摘要 目前对于蛋白质网络的多数分析方法都是基于静态网络框架提出的,然而,事实上蛋白质之间的相互作用关系是随着时间变化的,具有明显的动态特性。从动态角度出发,基于蛋白质交互网络,结合时间序列的基因表达数据,揭示蛋白质功能模块变化的动态特性,提出了一种动态网络的构建方法及在动态快照网络中挖掘功能模块的算法,采用模糊匹配的方法揭示了蛋白质功能模块的变化过程。实验证明,该方法能够有效地揭示蛋白质功能模块的动态变化特性。 Although many methods were proposed to analyze PPI network in past years,most of them are based on static network analysis framework.However,the PPI network is dynamic changing in living organisms.This paper analyzed the dynamic properties of modules in PPI network.Based on the time-series gene expression,it constructed the dynamic PPI snapshots and proposed a novel algorithm to mine functional modules in the snapshot networks.Thus,it adopted a fuzzy matching method to reveal the dynamic properties of modules.Experimental results illustrate the proposed method is helpful to analyze the dynamic properties of modules in PPI network.
作者 郭阳 尚学群 李晶
机构地区 西北工业大学计算机学院
出处 《计算机应用研究》 CSCD 北大核心 2012年第12期4495-4499,共5页 Application Research of Computers
基金 国家"973"计划资助项目(2012CB316203) 国家自然科学基金资助项目(61033007) 西北工业大学基础研究资助项目(JC201042)
关键词 蛋白质网络 局部相关性 功能模块 动态特性 PPI network local similarity functional module dynamic property
分类号 TP311 [自动化与计算机技术—计算机软件与理论]
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参考文献12

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共引文献1

同被引文献12

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计算机应用研究
2012年 第12期

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