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157 related items for PubMed ID: 21914573
1. A modified binary particle swarm optimization for selecting the small subset of informative genes from gene expression data. Mohamad MS, Omatu S, Deris S, Yoshioka M. IEEE Trans Inf Technol Biomed; 2011 Nov; 15(6):813-22. PubMed ID: 21914573 [Abstract] [Full Text] [Related]
2. Simultaneous genes and training samples selection by modified particle swarm optimization for gene expression data classification. Shen Q, Mei Z, Ye BX. Comput Biol Med; 2009 Jul; 39(7):646-9. PubMed ID: 19481202 [Abstract] [Full Text] [Related]
3. An enhancement of binary particle swarm optimization for gene selection in classifying cancer classes. Mohamad MS, Omatu S, Deris S, Yoshioka M, Abdullah A, Ibrahim Z. Algorithms Mol Biol; 2013 Apr 24; 8(1):15. PubMed ID: 23617960 [Abstract] [Full Text] [Related]
4. Selecting a minimal number of relevant genes from microarray data to design accurate tissue classifiers. Huang HL, Lee CC, Ho SY. Biosystems; 2007 Apr 24; 90(1):78-86. PubMed ID: 17291683 [Abstract] [Full Text] [Related]
5. Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm. Martinez E, Alvarez MM, Trevino V. Comput Biol Chem; 2010 Aug 24; 34(4):244-50. PubMed ID: 20888301 [Abstract] [Full Text] [Related]
7. A GMM-IG framework for selecting genes as expression panel biomarkers. Wang M, Chen JY. Artif Intell Med; 2010 Sep 16; 48(2-3):75-82. PubMed ID: 20004087 [Abstract] [Full Text] [Related]
8. Improved binary PSO for feature selection using gene expression data. Chuang LY, Chang HW, Tu CJ, Yang CH. Comput Biol Chem; 2008 Feb 16; 32(1):29-37. PubMed ID: 18023261 [Abstract] [Full Text] [Related]
9. Tabu search and binary particle swarm optimization for feature selection using microarray data. Chuang LY, Yang CH, Yang CH. J Comput Biol; 2009 Dec 16; 16(12):1689-703. PubMed ID: 20047491 [Abstract] [Full Text] [Related]
10. Ensemble gene selection by grouping for microarray data classification. Liu H, Liu L, Zhang H. J Biomed Inform; 2010 Feb 16; 43(1):81-7. PubMed ID: 19699316 [Abstract] [Full Text] [Related]
11. Recursive fuzzy granulation for gene subsets extraction and cancer classification. Tang Y, Zhang YQ, Huang Z, Hu X, Zhao Y. IEEE Trans Inf Technol Biomed; 2008 Nov 16; 12(6):723-30. PubMed ID: 19000951 [Abstract] [Full Text] [Related]
15. New gene selection method for multiclass tumor classification by class centroid. Shen Q, Shi WM, Kong W. J Biomed Inform; 2009 Feb 16; 42(1):59-65. PubMed ID: 18835752 [Abstract] [Full Text] [Related]
16. Clustering of high-dimensional gene expression data with feature filtering methods and diffusion maps. Xu R, Damelin S, Nadler B, Wunsch DC. Artif Intell Med; 2010 Feb 16; 48(2-3):91-8. PubMed ID: 19962867 [Abstract] [Full Text] [Related]
17. An efficient statistical feature selection approach for classification of gene expression data. Chandra B, Gupta M. J Biomed Inform; 2011 Aug 16; 44(4):529-35. PubMed ID: 21241823 [Abstract] [Full Text] [Related]
19. Functional modules with disease discrimination abilities for various cancers. Yao C, Zhang M, Zou J, Li H, Wang D, Zhu J, Guo Z. Sci China Life Sci; 2011 Feb 16; 54(2):189-93. PubMed ID: 21318490 [Abstract] [Full Text] [Related]
20. Reliable gene signatures for microarray classification: assessment of stability and performance. Davis CA, Gerick F, Hintermair V, Friedel CC, Fundel K, Küffner R, Zimmer R. Bioinformatics; 2006 Oct 01; 22(19):2356-63. PubMed ID: 16882647 [Abstract] [Full Text] [Related] Page: [Next] [New Search]