Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm

Computational Biology and Chemistry

Volumn 34, Issue 4, 2010, Pages 244-250

  Martinez, Emmanuel ^a   Alvarez, Mario Moises ^a   Trevino, Victor ^a  

^a SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

Biomarkers; Feature selection; Microarray; PSO

Indexed keywords

BIO-MARKER DISCOVERY; CANCER BIOMARKERS; CLASSIFICATION ACCURACY; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; FEATURE SELECTION PROBLEM; FUNCTIONAL GENOMICS; MICROARRAY DATA; MICROARRAY DATA SETS; PSO; SMALL FEATURES; SWARM INTELLIGENCE; TYPICAL APPLICATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMARKERS; CELLULAR AUTOMATA; DATA REDUCTION;

FEATURE EXTRACTION;

TUMOR MARKER;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; GENOMICS; METHODOLOGY; NEOPLASM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; GENE EXPRESSION PROFILING; GENOMICS; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; TUMOR MARKERS, BIOLOGICAL;

EID: 77958476034     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2010.08.003     Document Type: Article

References (17)

1. R. Bello, Y. Gomez, A. Nowe, and M.M. Garcia Two-step particle swarm optimization to solve the feature selection problem ISDA'07: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications 2007 IEEE Computer Society Washington, DC, USA 691 696
2. L.-Y. Chuang, H.-W. Chang, C.-J. Tu, and C.-H. Yang Improved binary pso for feature selection using gene expression data Computational Biology and Chemistry 32 1 2008 29 38
3. R.O. Duda, P.E. Hart, and D.G. Stork Pattern Classification 2nd ed. November 2000 Wiley-Interscience
4. R.C. Eberhart, Y. Shi, and J. Kennedy Swarm Intelligence. The Morgan Kaufmann Series in Artificial Intelligence 2001 Morgan Kaufmann San Francisco, CA, USA
5. I. Guyon, J. Weston, S. Barnhill, and V. Vapnik Gene selection for cancer classification using support vector machines Machine Learning 46 1-3 2002 389 422
6. Kennedy, and Eberhart A discrete binary version of the particle swarm algorithm Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation', 1997 IEEE International Conference 1997 4104 4108 vol. 5 http://dx.doi.org/10.1109/ICSMC.1997.637339
7. E.S. Lander Array of hope Nature Genetics 21 1 Suppl. Jan 1999 3 4 http://dx.doi.org/10.1038/4427
8. A.M. Molinaro, R. Simon, and R.M. Pfeiffer Prediction error estimation: a comparison of resampling methods Bioinformatics 21 15 Aug 2005 3301 3307 http://dx.doi.org/10.1093/bioinformatics/bti499
9. Y. Saeys, I. Inza, and P. Larrañaga A review of feature selection techniques in bioinformatics Bioinformatics 23 19 2007 2507 2517
10. M.A. Schaub, I.M. Kaplow, M. Sirota, C.B. Do, A.J. Butte, and S. Batzoglou A classifier-based approach to identify genetic similarities between diseases Bioinformatics 25 12 Jun 2009 i21 i29 http://dx.doi.org/10.1093/ bioinformatics/btp226
11. K.-Q. Shen, C.-J. Ong, X.-P. Li, and E.P. Wilder-Smith Feature selection via sensitivity analysis of svm probabilistic outputs Machine Learning 70 1 2008 1 20
12. S. Takahashi Monteiro, and K. Yukio Applying particle swarm intelligence for feature selection of spectral imagery ISDA'07: Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications 2007 IEEE Computer Society Washington, DC, USA 933 938
13. V. Trevino, and F. Falciani Galgo: an r package for multivariate variable selection using genetic algorithms Bioinformatics 22 9 May 2006 1154 1156
14. V. Trevino, E. Martinez, and M. Alvarez Swarm intelligence algorithm for feature selection from large-scale functional genomics datasets Proceedings of the 2009 International Conference on Bioinformatics & Computational Biology 2009
15. V.N. Vapnik Statistical Learning Theory September 1998 Wiley-Interscience
16. X. Wang, J. Yang, X. Teng, W. Xia, and R. Jensen Feature selection based on rough sets and particle swarm optimization Pattern Recognition Letters 28 4 2007 459 471 (Pubitemid 44920436)
17. R. Xu, G.C. Anagnostopoulos, and D.C. Wunsch Multiclass cancer classification using semisupervised ellipsoid artmap and particle swarm optimization with gene expression data IEEE/ACM Transactions on Computational Biology and Bioinformatics 4 1 2007 65 77