116 related articles for article (PubMed ID: 21807240)
1. Unimodal transform of variables selected by interval segmentation purity for classification tree modeling of high-dimensional microarray data.
Du W; Gu T; Tang LJ; Jiang JH; Wu HL; Shen GL; Yu RQ
Talanta; 2011 Sep; 85(3):1689-94. PubMed ID: 21807240
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Simultaneous variable selection and class fusion for high-dimensional linear discriminant analysis.
Guo J
Biostatistics; 2010 Oct; 11(4):599-608. PubMed ID: 20505058
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Iterative class discovery and feature selection using Minimal Spanning Trees.
Varma S; Simon R
BMC Bioinformatics; 2004 Sep; 5():126. PubMed ID: 15355552
[TBL] [Abstract][Full Text] [Related]
6. PCA disjoint models for multiclass cancer analysis using gene expression data.
Bicciato S; Luchini A; Di Bello C
Bioinformatics; 2003 Mar; 19(5):571-8. PubMed ID: 12651714
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Detecting differentially expressed genes by relative entropy.
Yan X; Deng M; Fung WK; Qian M
J Theor Biol; 2005 Jun; 234(3):395-402. PubMed ID: 15784273
[TBL] [Abstract][Full Text] [Related]
10. A leukemia-enriched cDNA microarray platform identifies new transcripts with relevance to the biology of pediatric acute lymphoblastic leukemia.
De Pittà C; Tombolan L; Campo Dell'Orto M; Accordi B; te Kronnie G; Romualdi C; Vitulo N; Basso G; Lanfranchi G
Haematologica; 2005 Jul; 90(7):890-8. PubMed ID: 15996926
[TBL] [Abstract][Full Text] [Related]
11. Many accurate small-discriminatory feature subsets exist in microarray transcript data: biomarker discovery.
Grate LR
BMC Bioinformatics; 2005 Apr; 6():97. PubMed ID: 15826317
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. Molecular characterization of acute leukemias by use of microarray technology.
Kohlmann A; Schoch C; Schnittger S; Dugas M; Hiddemann W; Kern W; Haferlach T
Genes Chromosomes Cancer; 2003 Aug; 37(4):396-405. PubMed ID: 12800151
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Gene expression profiling reveals intrinsic differences between T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma.
Raetz EA; Perkins SL; Bhojwani D; Smock K; Philip M; Carroll WL; Min DJ
Pediatr Blood Cancer; 2006 Aug; 47(2):130-40. PubMed ID: 16358311
[TBL] [Abstract][Full Text] [Related]
20. A hybrid feature selection method for DNA microarray data.
Chuang LY; Yang CH; Wu KC; Yang CH
Comput Biol Med; 2011 Apr; 41(4):228-37. PubMed ID: 21376310
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
