A hybrid approach for selecting gene subsets using gene expression data

SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

Volumn , Issue , 2008, Pages 159-164

  Yang, Cheng San ^a   Chuang, Li Yeh ^b   Ke, Chao Hsuan ^c   Yang, Cheng Hong ^c  

^a Institute of Biomedical Engineering   (Taiwan)

^b I SHOU UNIVERSITY   (Taiwan)

^c NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Binary particle swarm optimization; Correlation based feature selection; Feature selection; Microarray gene expression data

Indexed keywords

BINARY PARTICLE SWARM OPTIMIZATION; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CORRELATION-BASED FEATURE SELECTION; DISEASE CLASSIFICATION; FEATURE SELECTION; FEATURE SUBSET; GENE EXPRESSION DATA; GENE SETS; HUMAN CANCER; HYBRID APPROACH; K-NEAREST NEIGHBOR METHOD; MEDICAL DIAGNOSIS; MICROARRAY DATA; MICROARRAY GENE EXPRESSION DATA; RESEARCH PAPERS; TISSUE SAMPLES;

BIOACTIVITY; BIOINFORMATICS; COMPUTER SCIENCE; DIAGNOSIS; GENE EXPRESSION; INDUSTRIAL APPLICATIONS; RESEARCH; SET THEORY; SOFT COMPUTING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 70349280499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMCIA.2008.5045953     Document Type: Conference Paper

References (14)

1. P. Jafari and F. Azuaje. "An assessment of recently published gene expression data analyses: reporting experimental design and statistical factors, " BMC Medical Informatics and Decision Making, 6(1 ): 27, 2006.
2. J.R.Quinlan, "Induction ofdecision trees, " Machine Learning, No.1, 1986, pp.81-106.
3. J. Kennedy, and R.C. Eberhart, "Particle Swarm Optimization, " IEEE International Conference on Neural Networks, 1995, pp. 1942-1948.
4. T. Li, C. Zhang, and M. Ogihara, "A Comparative Study of Feature Selection and Multiclass Classification Methods for Tissue Classification Based on Gene Expression, " Bioinformatics, Vol.20, No.15, 2004, pp. 2429-2437.
5. Y. Saeys, I. Inza, and P. Larrafiaga, "A review of feature selection techniques in bioinformatics, " Bioinformatics, Vol.23, No. 19, pp. 2507-2517.
6. M.A. Hall. "Correlation-based feature selection for machine learning, " Ph.D. Thesis. Department of Computer Science, University of Waikato, 1998
7. E. Frank, M. Hall, L. Trigg, G. Holmes, I.H. Witten, "Data mining in bioinformatics using Weka, " Bioinformatics, Vol.20, No.15, 2004, pp. 2479-2481.
8. J. Kennedy, and R.C. Eberhart, "A discrete binary version of the particle swarm algorithm, " Proceedings of the 1997 Conference on Systems, , Man, and Cybernetics, Vol.5, Oct. 12-15, 1997, pp. 4104-4108.
9. A. Statnikov, C.F. Aliferis, I. Tsamardinos, D. Hardin, S. Levy, "A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diaffiosis" Bioinformatics, Vol.21, No.5, 2005, pp. 631-643.
10. L Li, C. R. Weinberg, T. A. Darden, and L. G. Pedersen, "Gene selection for sample classification based on gene expression data: study of sensitivity to choice of parameters of the GA/KNN method, " Bioinformatics, Vol.17, No.12, 2001, pp. 1131-1142.
11. Oduntan Olayinka, I., Toulouse, M., Baumgartner, R., Bowman, C., Somorjai, R., Crainic, T.G., "A Multilevel Tabu Search Algorithm for the Feature Selection Problem in Biomedical Data" Computers & Mathematics with Applications, Vol.55(5), Mar. 2008, pp. 1019-1033.
12. E Elbeltagi, T. Hegazy, and D. Grierson, "Comparison among five evolutionary-based optimization algorithms, " Advanced Engineering Informatics, Vol.19, 2005, pp. 43-53.
13. W. Buckinx, E. Buckinx, D. Van den Poel, G. Wets, "Customer-adapted coupon targeting using feature selection, " Expert Systems with Applications, Vol.26 No.4, 2004, pp. 509-518.
14. R. Xu, G. Anagnostopoulos, and D. Wunsch II, "Multi-class cancer classification using semi-supervised ellipsoid ARTMAP and particle swarm optimization with gene expression data, " IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.4, No.1, 2007, pp. 65-77.