A knowledge-driven approach to cluster validity assessment

被引：36

作者：

Bolshakova, N ^{[1
]}

Azuaje, F

Cunningham, P

机构：

[1] Univ Dublin Trinity Coll, Dept Comp Sci, Dublin 2, Ireland

[2] Univ Ulster, Sch Comp & Math, Jordanstown BT37 0QB, North Ireland

来源：

BIOINFORMATICS | 2005年 / 21卷 / 10期

基金：

爱尔兰科学基金会;

关键词：

D O I：

10.1093/bioinformatics/bti317

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

This paper presents an approach to assessing cluster validity based on similarity knowledge extracted from the Gene Ontology.

引用

页码：2546 / 2547

页数：2

共 6 条

[1]

[Anonymous], 1995, P 14 INT JOINT C ART

[2] Machaon CVE:: cluster validation for gene expression data [J].

Bolshakova, N ;

Azuaje, F .

BIOINFORMATICS, 2003, 19 (18) :2494-2495

[3] A genome-wide transcriptional analysis of the mitotic cell cycle [J].

Cho, RJ ;

Campbell, MJ ;

Winzeler, EA ;

Steinmetz, L ;

Conway, A ;

Wodicka, L ;

Wolfsberg, TG ;

Gabrielian, AE ;

Landsman, D ;

Lockhart, DJ ;

Davis, RW .

MOLECULAR CELL, 1998, 2 (01) :65-73

[4] QUADRATIC ASSIGNMENT AS A GENERAL DATA-ANALYSIS STRATEGY [J].

HUBERT, L ;

SCHULTZ, J .

BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 1976, 29 (NOV) :190-241

[5]

Speer N, 2004, PROCEEDINGS OF THE 2004 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, P252

[6]

Wang HY, 2004, PROCEEDINGS OF THE 2004 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, P25

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