%0 Journal Article
%T Analysis of Diffuse Large B-cell Lymphoma Heterogeneity Based on Coupled Two-way Clustering<br>基于耦合双向聚类技术的DLBCL异质性分析
%A LI Li
%A LI Xia
%A CHEN Yi-Han
%A GUO Zheng
%A JIANG Wei
%A ZHAGN Rui-Jie
%A RAO Shao-Qi
%A <br>李 丽
%A 李 霞
%A 陈义汉
%A 郭 政
%A 姜 伟
%A 张瑞杰
%A 饶绍奇
%J 遗传
%D 2006
%I 
%X Microarray technology has proposed a powerful tool in dealling with the heterogeneity of disease. Currently, many methods in the field are based on traditional hierarchical clustering to discover subtypes of disease using a large number of genes on microarray.However, they did not considered that large unrelated noise (genes)may mask significant partitions and correlations of disease samples. To avoid the shortcoming, this paper presented a heterogeneous analysis based on coupled two-way clustering (HCTWC) to search interesting gene signature and find the natural partitions of disease samples. The method was applied to diffuse large B-cell lymphoma (DLBCL) microarray dataset. By identifying significant gene signature, we were able to discover the two new subtypes of DLBCL with survival rate 55% and 25% respectively. The results showed that HCTWC had the potential to be a powerful tool for solving the heterogeneity of disease on gene expression profile.
%K gene expression profile
%K heterogeneity of disease
%K super-paramagnetic clustering
%K conception consistency<br>基因表达谱
%K 疾病异质性
%K 超顺磁性聚类
%K 概念一致性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=3E23F50E071DF18E21B2F5AEE4F1FA5E&aid=B39E36E028FE4DF4&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=2C195A225F9C61A0&eid=9F83C44826B8A7D6&journal_id=0253-9772&journal_name=遗传&referenced_num=0&reference_num=22