ArrayCluster: An analytic tool for clustering, data visualization and module finder on gene expression profiles

Bioinformatics

Volumn 22, Issue 12, 2006, Pages 1538-1539

  Yoshida, Ryo ^a   Higuchi, Tomoyuki ^b   Imoto, Seiya ^a   Miyano, Satoru ^a  

^a THE UNIVERSITY OF TOKYO   (Japan)

^b INSTITUTE OF STATISTICAL MATHEMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; CLUSTER ANALYSIS; COMPUTER PROGRAM; CORRELATION ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENETIC TRANSCRIPTION; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; PRIORITY JOURNAL; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

EID: 33745590867     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl129     Document Type: Article

References (4)

1. McLachlan,G.J. and Peel,D. (2000) Finite Mixture Models. Wiley, New York.
2. McLachlan,G.J. et al. (2002) A mixture model-based approach to the clustering of microarray expression data. Bioinformatics, 18, 413-422.
3. Tipping,M.E. and Bishop,C.M. (1999) Mixtures of probabilistic principal component analyzers. Neural Comp., 11, 443-482.
4. Yoshida,R. et al. (2004) A mixed factors model for dimension reduction and extraction of gene expression data. Proc. IEEE Compu. Sys. Bioinform. Conf., 161-172.