163 related articles for article (PubMed ID: 18296718)
1. The ant colony algorithm for feature selection in high-dimension gene expression data for disease classification.
Robbins KR; Zhang W; Bertrand JK; Rekaya R
Math Med Biol; 2007 Dec; 24(4):413-26. PubMed ID: 18296718
[TBL] [Abstract][Full Text] [Related]
2. An efficient statistical feature selection approach for classification of gene expression data.
Chandra B; Gupta M
J Biomed Inform; 2011 Aug; 44(4):529-35. PubMed ID: 21241823
[TBL] [Abstract][Full Text] [Related]
3. What should be expected from feature selection in small-sample settings.
Sima C; Dougherty ER
Bioinformatics; 2006 Oct; 22(19):2430-6. PubMed ID: 16870934
[TBL] [Abstract][Full Text] [Related]
4. A combination of rough-based feature selection and RBF neural network for classification using gene expression data.
Chiang JH; Ho SH
IEEE Trans Nanobioscience; 2008 Mar; 7(1):91-9. PubMed ID: 18334459
[TBL] [Abstract][Full Text] [Related]
5. Tumor classification ranking from microarray data.
Hewett R; Kijsanayothin P
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
[TBL] [Abstract][Full Text] [Related]
6. Ensemble methods for classification of patients for personalized medicine with high-dimensional data.
Moon H; Ahn H; Kodell RL; Baek S; Lin CJ; Chen JJ
Artif Intell Med; 2007 Nov; 41(3):197-207. PubMed ID: 17719213
[TBL] [Abstract][Full Text] [Related]
7. A new classification model with simple decision rule for discovering optimal feature gene pairs.
Li J; Tang X
Comput Biol Med; 2007 Nov; 37(11):1637-46. PubMed ID: 17482157
[TBL] [Abstract][Full Text] [Related]
8. CARSVM: a class association rule-based classification framework and its application to gene expression data.
Kianmehr K; Alhajj R
Artif Intell Med; 2008 Sep; 44(1):7-25. PubMed ID: 18586476
[TBL] [Abstract][Full Text] [Related]
9. Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data.
Baty F; Bihl MP; Perrière G; Culhane AC; Brutsche MH
BMC Bioinformatics; 2005 Sep; 6():239. PubMed ID: 16191195
[TBL] [Abstract][Full Text] [Related]
10. A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset.
Li L; Jiang W; Li X; Moser KL; Guo Z; Du L; Wang Q; Topol EJ; Wang Q; Rao S
Genomics; 2005 Jan; 85(1):16-23. PubMed ID: 15607418
[TBL] [Abstract][Full Text] [Related]
11. New gene selection method for multiclass tumor classification by class centroid.
Shen Q; Shi WM; Kong W
J Biomed Inform; 2009 Feb; 42(1):59-65. PubMed ID: 18835752
[TBL] [Abstract][Full Text] [Related]
12. Incremental forward feature selection with application to microarray gene expression data.
Lee YJ; Chang CC; Chao CH
J Biopharm Stat; 2008; 18(5):827-40. PubMed ID: 18781519
[TBL] [Abstract][Full Text] [Related]
13. Gene selection via the BAHSIC family of algorithms.
Song L; Bedo J; Borgwardt KM; Gretton A; Smola A
Bioinformatics; 2007 Jul; 23(13):i490-8. PubMed ID: 17646335
[TBL] [Abstract][Full Text] [Related]
14. Stochastic dynamic modeling of short gene expression time-series data.
Wang Z; Yang F; Ho DW; Swift S; Tucker A; Liu X
IEEE Trans Nanobioscience; 2008 Mar; 7(1):44-55. PubMed ID: 18334455
[TBL] [Abstract][Full Text] [Related]
15. Hybrid particle swarm optimization and tabu search approach for selecting genes for tumor classification using gene expression data.
Shen Q; Shi WM; Kong W
Comput Biol Chem; 2008 Feb; 32(1):52-9. PubMed ID: 18093877
[TBL] [Abstract][Full Text] [Related]
16. Improved binary PSO for feature selection using gene expression data.
Chuang LY; Chang HW; Tu CJ; Yang CH
Comput Biol Chem; 2008 Feb; 32(1):29-37. PubMed ID: 18023261
[TBL] [Abstract][Full Text] [Related]
17. Exploring ant-based algorithms for gene expression data analysis.
He Y; Hui SC
Artif Intell Med; 2009 Oct; 47(2):105-19. PubMed ID: 19376690
[TBL] [Abstract][Full Text] [Related]
18. A method of tumor classification based on wavelet packet transforms and neighborhood rough set.
Zhang SW; Huang DS; Wang SL
Comput Biol Med; 2010 Apr; 40(4):430-7. PubMed ID: 20227068
[TBL] [Abstract][Full Text] [Related]
19. Robust and efficient identification of biomarkers by classifying features on graphs.
Hwang T; Sicotte H; Tian Z; Wu B; Kocher JP; Wigle DA; Kumar V; Kuang R
Bioinformatics; 2008 Sep; 24(18):2023-9. PubMed ID: 18653521
[TBL] [Abstract][Full Text] [Related]
20. New variable selection method using interval segmentation purity with application to blockwise kernel transform support vector machine classification of high-dimensional microarray data.
Tang LJ; Du W; Fu HY; Jiang JH; Wu HL; Shen GL; Yu RQ
J Chem Inf Model; 2009 Aug; 49(8):2002-9. PubMed ID: 19645418
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]