200 related articles for article (PubMed ID: 11035779)
1. Coupled two-way clustering analysis of gene microarray data.
Getz G; Levine E; Domany E
Proc Natl Acad Sci U S A; 2000 Oct; 97(22):12079-84. PubMed ID: 11035779
[TBL] [Abstract][Full Text] [Related]
2. Fuzzy-adaptive-subspace-iteration-based two-way clustering of microarray data.
Shaik J; Yeasin M
IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(2):244-59. PubMed ID: 19407349
[TBL] [Abstract][Full Text] [Related]
3. Coupled two-way clustering analysis of breast cancer and colon cancer gene expression data.
Getz G; Gal H; Kela I; Notterman DA; Domany E
Bioinformatics; 2003 Jun; 19(9):1079-89. PubMed ID: 12801868
[TBL] [Abstract][Full Text] [Related]
4. [Analysis of diffuse large B-cell lymphoma heterogeneity based on coupled two-way clustering].
Li L; Li X; Chen YH; Guo Z; Jiang W; Zhagn RJ; Rao SQ
Yi Chuan; 2006 Sep; 28(9):1129-34. PubMed ID: 16963424
[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. MIClique: An algorithm to identify differentially coexpressed disease gene subset from microarray data.
Zhang H; Song X; Wang H; Zhang X
J Biomed Biotechnol; 2009; 2009():642524. PubMed ID: 20169000
[TBL] [Abstract][Full Text] [Related]
7. A mixture model-based approach to the clustering of microarray expression data.
McLachlan GJ; Bean RW; Peel D
Bioinformatics; 2002 Mar; 18(3):413-22. PubMed ID: 11934740
[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. Parallelized evolutionary learning for detection of biclusters in gene expression data.
Huang Q; Tao D; Li X; Liew AW
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(2):560-70. PubMed ID: 21383419
[TBL] [Abstract][Full Text] [Related]
10. An Agent-Based Clustering Approach for Gene Selection in Gene Expression Microarray.
Ramos J; Castellanos-Garzón JA; González-Briones A; de Paz JF; Corchado JM
Interdiscip Sci; 2017 Mar; 9(1):1-13. PubMed ID: 28281239
[TBL] [Abstract][Full Text] [Related]
11. Graph-based consensus clustering for class discovery from gene expression data.
Yu Z; Wong HS; Wang H
Bioinformatics; 2007 Nov; 23(21):2888-96. PubMed ID: 17872912
[TBL] [Abstract][Full Text] [Related]
12. A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data.
Zhao H; Liew AW; Xie X; Yan H
J Theor Biol; 2008 Mar; 251(2):264-74. PubMed ID: 18199458
[TBL] [Abstract][Full Text] [Related]
13. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
Maruschke M; Reuter D; Koczan D; Hakenberg OW; Thiesen HJ
BJU Int; 2011 Jul; 108(2 Pt 2):E29-35. PubMed ID: 21435154
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Bayesian variable selection for disease classification using gene expression data.
Yang AJ; Song XY
Bioinformatics; 2010 Jan; 26(2):215-22. PubMed ID: 19933163
[TBL] [Abstract][Full Text] [Related]
16. Fuzzy clustering analysis of microarray data.
Han L; Zeng X; Yan H
Proc Inst Mech Eng H; 2008 Oct; 222(7):1143-8. PubMed ID: 19024161
[TBL] [Abstract][Full Text] [Related]
17. Improving the sensitivity of sample clustering by leveraging gene co-expression networks in variable selection.
Wang Z; San Lucas FA; Qiu P; Liu Y
BMC Bioinformatics; 2014 May; 15():153. PubMed ID: 24885641
[TBL] [Abstract][Full Text] [Related]
18. Gene mining: a novel and powerful ensemble decision approach to hunting for disease genes using microarray expression profiling.
Li X; Rao S; Wang Y; Gong B
Nucleic Acids Res; 2004; 32(9):2685-94. PubMed ID: 15148356
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Clustering microarray gene expression data using weighted Chinese restaurant process.
Qin ZS
Bioinformatics; 2006 Aug; 22(16):1988-97. PubMed ID: 16766561
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
