A novel discrete particle swarm optimization algorithm for microarray data-based tumor marker gene selection

Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008

Volumn 1, Issue , 2008, Pages 1057-1060

  Yu, Hualong ^a   Gu, Guochang ^a   Liu, Haibo ^a   Shen, Jing ^a   Zhu, Changming ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Marker gene selection; Microarray; Particle swarm optimization; Tumor

Indexed keywords

CLASSIFICATION ACCURACIES; DATA SETS; DISCRETE PARTICLE SWARM OPTIMIZATION ALGORITHMS; DISCRETE PARTICLE SWARM OPTIMIZATIONS; ESTIMATION METHODS; HIGH-DIMENSION DATUM; INFORMATIVE GENES; MARKER GENE SELECTION; MICROARRAY; MICROARRAY DATUM; PARTICLE SWARM OPTIMIZATION; PREDICTION PERFORMANCE; SIGNAL-NOISE RATIOS; TUMOR MARKERS;

COMPUTERS; GENES; SOFTWARE ENGINEERING; SUPPORT VECTOR MACHINES; TUMORS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 61849138977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.631     Document Type: Conference Paper

References (15)

1. T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield, and E. S. Lander, "Molecular classification of cancer: class discovery and class prediction by gene expression monitoring", Science, 1999, Vol 286, pp 531-537.
2. E. R. Dougherty, "Small sample issues for microarray-based classification", Comparative and Functional Genomics, 2001, Vol 2, pp 28-34.
3. F. P. Roth, "Bringing out the best features of expression data", Genome Research, 2001, Vol 11, pp 1801-1802.
4. Guyon, J. Weston, S. Barnhill, V. Vapnik, "Gene Selection for Cancer Classification Using Support Vector Machines", Machine learning, 2002, Vol 46, pp 389-422.
5. I. Inza, P. Larranaga, R. Blanco, "Filter versus wrapper gene selection approaches in DNA microarray domains", Artificial Intelligence in Medicine, 2004, Vol 31, pp 91-104.
6. S. H. Peng, Q. H. Xu, X. Feng, B. Ling, X. N. Peng, W. Du, L. B. Chen, "Molecular Classification of Cancer Types from Microarray Data Using the Combination of Genetic Algorithms and Support Vector Machines", FEBS Letters, 2003, Vol 555, pp 358-362.
7. Q. Shen, W. M. Shi, W. Kong, B. X. Ye, "A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification", Talanta, 2007, Vol 71, pp 1679-1683.
8. J. Kennedy, R. C. Eberhart, "Particle swarm optimization", Proceedings of IEEE International Conference On Neural Networks, 1995, Vol 4, pp 1942-1948.
9. Vapnik, Statistical Learning Theory, Wiley, New York, 1998.
10. S. Gunn, "Support Vector Machines for Classification and Regression", Technical Report, 1998.
11. U. Alon, N. Barkai, D. ANotterman, K. Gish, S. Ybarra and D. Mack, "Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by Oligonucleotide array", Proc. Nat. Acad. Sci. USA., 1999, Vol 96, pp 6745-6750.
12. J. U. Thanyaluk, A. Stuart, "Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes", BMC Bioinformatics, 2005, Vol 6, 148.
13. Y. H. Wang, F. S. Makedon, J. C. Ford, "HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data", Bioinformatics, 2005, Vol 21, pp 1530-1537.
14. B. Liu, Q. H. Cui, T. Z. Jiang, S. D. Ma, "A combinational feature selection and ensemble neural network method for classification of gene expression data", BMC Bioinformatics, 2004, Vol 5, 136.
15. T. S. Furey, N. Cristianini, N. Duffy, D. W. Bednarski, M. Schummer, D. Haussler, "Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data", Bioinformatics, 2000, Vol 16, pp 906-914.