SCM-driven Tree View for Microarray Data

被引：0
|
作者：
Kuo, Hsun-Chih [1 ]
Yang, Miin-Shen [2 ]
Yang, Jenn-Hwai [2 ]
Chen, Yen-Chi [2 ]
机构：
[1] Natl Chengchi Univ, Dept Stat, Taipei 11605, Taiwan
[2] Chung Yuan Christian Univ, Dept Appl Math, Chungli 32023, Taiwan
来源：
ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2014, PT II | 2014年 / 8468卷
关键词：
Clustering; Microarray data; Similarity-based clustering method; Eisen's tree-view; GENE-EXPRESSION; DISCOVERY;
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：
Eisen's tree view is a useful tool for clustering and displaying of microarray gene expression data. In Eisen's tree view system, a hierarchical method is used for clustering data. However, some useful information in gene expression data may not be well drawn when a hierarchical clustering is directly used in Eisen's tree view. In this paper, we embed the similarity-based clustering method (SCM) into the tree view system so that microarray data can be re-organized according to the structure of data. The created SCM-driven tree view can give a better dendrogram display for microarray gene expression data with more useful information.
引用
收藏
页码：207 / 215
页数：9
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