355 related articles for article (PubMed ID: 15680584)
1. Gene selection from microarray data for cancer classification--a machine learning approach.
Wang Y; Tetko IV; Hall MA; Frank E; Facius A; Mayer KF; Mewes HW
Comput Biol Chem; 2005 Feb; 29(1):37-46. PubMed ID: 15680584
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Optimal approach for classification of acute leukemia subtypes based on gene expression data.
Cho JH; Lee D; Park JH; Kim K; Lee IB
Biotechnol Prog; 2002; 18(4):847-54. PubMed ID: 12153320
[TBL] [Abstract][Full Text] [Related]
4. Filter versus wrapper gene selection approaches in DNA microarray domains.
Inza I; LarraƱaga P; Blanco R; Cerrolaza AJ
Artif Intell Med; 2004 Jun; 31(2):91-103. PubMed ID: 15219288
[TBL] [Abstract][Full Text] [Related]
5. A stable iterative method for refining discriminative gene clusters.
Xu M; Zhu M; Zhang L
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S18. PubMed ID: 18831783
[TBL] [Abstract][Full Text] [Related]
6. Multiclass cancer classification using gene expression profiling and probabilistic neural networks.
Berrar DP; Downes CS; Dubitzky W
Pac Symp Biocomput; 2003; ():5-16. PubMed ID: 12603013
[TBL] [Abstract][Full Text] [Related]
7. A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue.
Chen Z; Li J; Wei L
Artif Intell Med; 2007 Oct; 41(2):161-75. PubMed ID: 17851055
[TBL] [Abstract][Full Text] [Related]
8. Unsupervised clustering in mRNA expression profiles.
Tasoulis DK; Plagianakos VP; Vrahatis MN
Comput Biol Med; 2006 Oct; 36(10):1126-42. PubMed ID: 16246320
[TBL] [Abstract][Full Text] [Related]
9. Automatic construction of gene relation networks using text mining and gene expression data.
Karopka T; Scheel T; Bansemer S; Glass A
Med Inform Internet Med; 2004 Jun; 29(2):169-83. PubMed ID: 15370996
[TBL] [Abstract][Full Text] [Related]
10. Variable selection using probability density function similarity for support vector machine classification of high-dimensional microarray data.
Tang LJ; Jiang JH; Wu HL; Shen GL; Yu RQ
Talanta; 2009 Jul; 79(2):260-7. PubMed ID: 19559875
[TBL] [Abstract][Full Text] [Related]
11. Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data.
Tong DL; Schierz AC
Artif Intell Med; 2011 Sep; 53(1):47-56. PubMed ID: 21775110
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Ensemble machine learning on gene expression data for cancer classification.
Tan AC; Gilbert D
Appl Bioinformatics; 2003; 2(3 Suppl):S75-83. PubMed ID: 15130820
[TBL] [Abstract][Full Text] [Related]
15. An integrated algorithm for gene selection and classification applied to microarray data of ovarian cancer.
Lee ZJ
Artif Intell Med; 2008 Jan; 42(1):81-93. PubMed ID: 18006289
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE.
Niijima S; Kuhara S
BMC Bioinformatics; 2006 Dec; 7():543. PubMed ID: 17187691
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of gene expression signatures for molecular classification in human leukemia cells.
Song JH; Kim HJ; Lee CH; Kim SJ; Hwang SY; Kim TS
Int J Oncol; 2006 Jul; 29(1):57-64. PubMed ID: 16773185
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive vertical sample-based KNN/LSVM classification for gene expression analysis.
Pan F; Wang B; Hu X; Perrizo W
J Biomed Inform; 2004 Aug; 37(4):240-8. PubMed ID: 15465477
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]