State-of-the-art on Cluster Analysis of Gene Expression Data

摘要：

With the development of DNA technology,there are huge volumes of gene expression data to be generated.How to effectively organize and analyze these data has become an urgent problem to be solved.At present,duster analysis is an effective and practical tool to analyze the flood of gene expression data to gain important biological and genetic information.In recent years, many improved conventional clustering algorithms as well as new clustering algorithms have been proposed to process the gene expression data.This paper simply introduces how to produce gene expression data firstly,and then discusses some new cluster algorithms applied in gene expression data.For gene-based clustering,we present advantages and disadvantages of its methods in detail and simply introduce sample-based clustering and biclustering.

关键词： DNA mieroarray gene expression data cluster analysis

作者: Qianqian Gao Jun Sun

作者单位: School of Information Technology,Jiang Nan University,Wuxi,214122,China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 460-466

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）