Discovering clusters in gene expression data

被引：0
|
作者：
Ma, PCH [1 ]
Char, KCC [1 ]
Chiu, DKY [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China
来源：
PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES | 2003年
关键词：
gene expression; transcription factor binding sites; cluster analysis; data mining;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a generic clustering algorithm that uses a two-phase approach to discover clusters in gene expression data. The advantage of this method is that gene expression patterns that are difficult to be grouped can be grouped under the proposed method. To test its effectiveness, we have used it on real expression data. The experimental results reveal meaningful groupings and uncover many known transcription factor binding sites.
引用
收藏
页码：879 / 882
页数：4
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