Biclustering of expression microarray data with topic models

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 2728-2731

  Bicego, Manuele ^a,b   Lovato, Pietro ^a   Ferrarini, Alberto ^a   Delledonne, Massimo ^a  

^a UNIVERSITY OF VERONA   (Italy)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

Biclustering; Expression microarray; Graphical models; Topic model

Indexed keywords

BICLUSTERING; BICLUSTERS; EXPRESSION MICROARRAY; GRAPHICAL MODEL; HIGHLY-CORRELATED; MATRIX; PROBABILISTIC MODELS; SYNTHETIC BENCHMARK; TOPIC MODEL; VITIS VINIFERA;

GENE EXPRESSION; GRAPHIC METHODS; PATTERN RECOGNITION;

MODELS;

EID: 78149474968     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.668     Document Type: Conference Paper

References (10)

1. F. Valafar, "Pattern recognition techniques in microarray data analysis: A survey," Annals of the New York Academy of Sciences, vol. 980, pp. 41-64, 2002.
2. S. Madeira and A. Oliveira, "Biclustering algorithms for biological data analysis: a survey," IEEE Trans. on Computational Biology and Bioinformatics, vol. 1, pp. 24-44, 2004.
3. A. Prelic, S. Bleuler, P. Zimmermann, A. Wille, P. Buhlmann, W. Gruissem, L. Hennig, L. Thiele, and E. Zitzler, "A systematic comparison and evaluation of biclustering methods for gene expression data," Bioinformatics, vol. 22, no. 9, pp. 1122-1129, 2006.
4. T. Hofmann, "Unsupervised learning by probabilistic latent semantic analysis," Mach. Learn., vol. 42, no. 1-2, pp. 177-196, 2001.
5. M. Cristani, A. Perina, U. Castellani, and V. Murino, "Geolocated image analysis using latent representations," in IEEE Conference on Computer Vision and Pattern Recognition, 2008, 2008, pp. 1-8.
6. S. Rogers, M. Girolami, C. Campbell, and R. Breitling, "The latent process decomposition of cdna microarray data sets," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 2, no. 2, pp. 143-156, 2005.
7. M. Bicego, P. Lovato, B. Oliboni, and A. Perina, "Expression microarray classification using topic models," in ACM SAC - Bioinformatics and Computational Biology track, 2010.
8. J.-G. Joung, D.-H. Shin, R. Seong, and B.-T. Zhang, "Identification of regulatory modules by co-clustering latent variable models: stem cell differentiation," Bioinformatics, vol. 22, no. 16, pp. 2005-2011, 2006.
9. F. Hampel, P. Rousseeuw, E. Ronchetti, and W. Stahel, Robust Statistics: the Approach Based on Influence Functions. John Wiley & Sons, 1986.
10. The Gene Ontology Consortium, "Gene ontology: tool for the unification of biology," Nature Genetics, vol. 25, no. 1, pp. 25-29, 2000.