A knowledge-driven approach to cluster validity assessment

Bioinformatics

Volumn 21, Issue 10, 2005, Pages 2546-2547

  Bolshakova, Nadia ^a   Azuaje, Francisco ^b   Cunningham, Pádraig ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

^b UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENE PRODUCT;

ARTICLE; CLUSTER ANALYSIS; COMPUTER LANGUAGE; COMPUTER PROGRAM; GENE CLUSTER; MOLECULAR GENETICS; NONHUMAN; PRIORITY JOURNAL; VALIDATION PROCESS;

EID: 19544366640     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti317     Document Type: Article

References (6)

1. Bolshakova,N. and Azuaje,F. (2003) Machaon CVE: cluster validation for gene expression data. Bioinformatics, 19, 2494-2495.
2. Cho,R.J. et al. (1998) A genomewide transcriptional analysis of the mitotic cell cycle. Mol. Cell, 2, 65-73.
3. Hubert,L. and Schultz,J. (1976) Quadratic assignment as a general data-analysis strategy. Brit. J. Math. Statist. Psychol., 190-241.
4. Resnik,P. (1995) Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of the 14th International Joint Conference on Artificial Intelligence, pp. 448-453.
5. Speer,N. et al. (2004) A memetic clustering algorithm for the functional partition of genes based on the gene ontology. In Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2004), San Diego, USA. IEEE Press, pp. 252-259.
6. Wang,H. et al. (2004) Gene expression correlation and gene ontology-based similarity: an assessment of quantitative relationships. In Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, October 7-8, La Jolla, CA. IEEE Press, pp. 25-31.