%0 Journal Article
%T CONDITION-RELATED GENE FUNCTIONAL MODULE CLUSTER ANALYSIS<br>与实验条件相关的基因功能模块聚类分析方法
%A YU Hui
%A GUO Zheng
%A LI Xia
%A TU Kang
%A <br>喻辉
%A 郭政
%A 李霞
%A 屠康
%J 生物物理学报
%D 2004
%I 
%X Given the phenomenon of gene functional modulization in a cell, the concepts of gene functional module and characteristic functional module were formally defined. In view of these two novel concepts, the condition-related gene functional module clustering algorithm was developed, which clusters genes into conditional-related gene functional modules based on both gene function knowledge and gene expression data. Increasing level of artificial noise was added into the original gene expression dataset and the stability of various functional modules was compared, and those functional modules which were most resistant to the data noise were extracted as the characteristic functional modules. It was demonstrated with the adding-noise experiment that the condition-related gene functional module clustering algorithm was superior to both hierarchical clustering and fuzzy C-means clustering with respect to their stability against data noise that was commonly found in microarray technology. Eight characteristic functional modules were extracted when the algorithm was applied to NCI60 gene expression data.
%K Gene functional module
%K Characteristic functional module
%K Cluster analysis<br>基因芯片技术
%K 基因功能模块
%K 聚类分析
%K 基因表达谱
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=E847A89B3A0750DB&yid=D0E58B75BFD8E51C&vid=A04140E723CB732E&iid=38B194292C032A66&sid=4966445AEEBA9556&eid=E1D946F217E3B046&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=2&reference_num=28