Biological networks to the analysis of microarray data  

作　　者：FANG Zhuo LUO Qingming ZHANG Guoqing LI Yixue 

机构地区：[1]Hubei Bioinformatics and Molecular Imaging Key Laboratory, Huazhong University of Science and Technology, Wuhan 430074, China [2]Shanghai Center for Bioinformation and Technology, Shanghai 200235, China

出　　处：《Progress in Natural Science:Materials International》2006年第12期1242-1251,共10页自然科学进展·国际材料（英文版）

基　　金：Supported by the National Programon Key Basic Research Projects (No .2004CB518606) ;the Fundamental Research Programof Shanghai Mu-nicipal Commission of Science and Technology (No .04DZ14003) ;the National Key Technologies R&D Programof China (No .2005BA711A04)

摘　　要：Microarray technology, which permits rapid and large-scale screening for patterns of gene expressions, usually generates a large amount of data. How to mine the biological meanings under these data is one of the main challenges in bioinformatics. Compared to the pure mathematical techniques, those methods incorporated with some prior biological knowledge generally bring better interpretations. Recently, a new analysis, in which the knowledge of biological networks such as metabolic network and protein interaction network is introduced, is widely applied to microarray data analysis. The microarray data analysis based on biological networks contains two main research aspects: identification of active components in biological networks and assessment of gene sets significance. In this paper, we briefly review the progress of these two categories of analyses, especially some representative methods.Microarray technology, which permits rapid and large-scale screening for patterns of gene expressions, usually generates a large amount of data. How to mine the biological meanings under these data is one of the main challenges in bioinformatics. Compared to the pure mathematical techniques, those methods incorporated with some prior biological knowledge generally bring better interpretations. Recently, a new analysis, in which the knowledge of biological networks such as metabolic network and protein interaction network is introduced, is widely applied to microarray data analysis. The microarray data analysis based on biological networks contains two main research aspects： identification of active components in biological networks and assessment of gene sets significance. In this paper, we briefly review the progress of these two categories of analyses, especially some representative methods.

关 键 词：biological networks MICROARRAY data analysis SUBNETWORK gene set 

分 类 号：Q1[生物学—普通生物学]