Mining gene network by combined association rules and genetic algorithm

2009 International Conference on Communications, Circuits and Systems, ICCCAS 2009

Volumn , Issue , 2009, Pages 581-585

  Du, Fang ^a   Rao, Nini ^a   Guo, Jianxiu ^a   Yuan, Zuoyong ^a   Wang, Rui ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL TESTS; FITNESS FUNCTIONS; FREQUENT ITEMSETS; GENE EXPRESSION DATA; GENE EXPRESSION DATASETS; GENE NETWORKS; GENETIC MANIPULATIONS; OPTIMIZING SELECTION; SEARCHING EFFICIENCY; TRANSACTION DATABASE;

ASSOCIATION REACTIONS; ASSOCIATION RULES; ASSOCIATIVE PROCESSING; BIOACTIVITY; COMPUTATIONAL COMPLEXITY; FUNCTION EVALUATION; GENE EXPRESSION; GENETIC ALGORITHMS; MATHEMATICAL OPERATORS; MINING;

COMPUTATIONAL EFFICIENCY;

EID: 72749107544     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein, "C luster analysis and display of genome-wide expres sion pattern s," Proc. Natl. Acad. Sci. USA, vol. 95, pp. 14863-14868, Dec 1998.
2. S. Tavazoie, J. D. Hughes, M. J. Campbell, R. J. Cho, and G.M. Church, "Systematic determination of genetic network architecture," Nature Gene., vol. 22, pp. 281-285, July 1999.
3. R. Somogyi, S. Fuhrman, M. Askenazi, and A. Wuensche "The gene expression matrix : towards the extraction of genetic network arch itectures," Proceedings of Second World Congress of Nonlinear Analysts, vol. 30, pp. 1815-1824, Dec 1997.
4. S. Liang, S. Fuhrman, and R. Somogyi, "REVEAL: a general reverse engineering algorithm for inference of genetic network architectures," Proceedings of the Pacific Symposium on Biocomputing, vol. 3, pp.18-29, Jan 1998.
5. P. D'Haeseleer, S. Liang, and R. Somogyi, "Genetic network inference : from co-expression clustering to reverse engineering," Bioinformatics, vol. 16, pp.707-726, Mar 2000.
6. T. Chen, H. L. He, G. and M. Church, "Modeling gene expression with differential equations," Proceedings of the Pacific Symposium on Biocomputing, vol. 4, pp. 29-40, Jan 1999.
7. N. Friedman, M. Linial, I. Nachman, and D. Pe'er, "Using bayesian networks to analyze expression data," Proceedings of the Fourth Annual International Conference on Computational Molecular Biology, vol. 7, pp.601-620, April 2000. (Pubitemid 30944025)
8. C. Yoo, V. Thorsson, and G. F. Cooper, "Discovery of causal relation ships in a gene-re gulation pathway from a mixture of experimental and observational DNA microarray data," Proceedings of the Pacific Symposium on Biocomputing, vol. 7, pp.498-509, Jan 2002.
9. S. Kauffman, C. Peterson, B. Samuelsson, and C. Troein, "Random Boolean network models and the yeast transcriptional network," Proc. Natl. Acad. Sci. USA, vol. 100, pp. 14796-14799, June 2003.
10. M. S. Dasika, A. Gupta, and C. D. Maranas, "A mixed integer linear programming (MILl') framework for inferring time delay in gene regulatory network s," Proceedings of the Pacific Symposium on Biocomputing, pp.474-485, Jan 2004.
11. X. W. Chen, G. Anantha, and X. K. Wang, "An effectiv e structure learning method for constructing gene networks," Bioinformatics, vol. 22, pp. 1367-1374, June 2006.
12. M. Y. Wang, Z. Z. Chen, and S. Cloutier, "A hybrid Bayesian network learning method for constructing gene netw orks," Computational Biology and Chemistry, vol. 3, pp. 361-372, Oct 2007.
13. C. Creighton, and S. Hanash, "Mining gene expression databas es for association rules," Bioinformatics, vol. 19, pp. 79-86, Jan 2003.
14. Z. Huang, J. Li, H. Su, G. S. Watts, and H. Chen, "Large-scale regulatory network analysis from microarray data : modified Bayesian network learning and association rule mining," Decision Support System, vol. 43, pp. 1207-1225, Feb 2007.
15. R. Agrawal, and R. Srikant, "Fast Algorithms for Mining Association Rules in large Databases," Proceedings of 20th International Conference on Very Large Databases (VLDB ' 94), pp. 487-499, Sep. 1994.
16. http://www.geneontology.org.
17. http://www.yeastgenome.org, accessed July 2006.
18. http://www.yeastrac.com/index.php, accessed Aug 2006.
19. P. T. Spellman, G. Sherlock, M. Q. Zhang, V. R. Iyer, K. Anders, M. B. Eisen, P. O. Brown, D. Botstein, and B. Futcher, "Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cere visiae by microarray hybridization," Molecular Biology of the Cell, vol. 9, pp. 3273-3297, Dec 1998.