108 related articles for article (PubMed ID: 22893451)
1. Representative distance: a new similarity measure for class discovery from gene expression data.
Yu Z; You J; Li L; Wong HS; Han G
IEEE Trans Nanobioscience; 2012 Dec; 11(4):341-51. PubMed ID: 22893451
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Knowledge based cluster ensemble for cancer discovery from biomolecular data.
Yu Z; Wongb HS; You J; Yang Q; Liao H
IEEE Trans Nanobioscience; 2011 Jun; 10(2):76-85. PubMed ID: 21742574
[TBL] [Abstract][Full Text] [Related]
4. Distance-based clustering of CGH data.
Liu J; Mohammed J; Carter J; Ranka S; Kahveci T; Baudis M
Bioinformatics; 2006 Aug; 22(16):1971-8. PubMed ID: 16705014
[TBL] [Abstract][Full Text] [Related]
5. Class discovery from gene expression data based on perturbation and cluster ensemble.
Yu Z; Wong HS
IEEE Trans Nanobioscience; 2009 Jun; 8(2):147-60. PubMed ID: 19497836
[TBL] [Abstract][Full Text] [Related]
6. Nonlinear dimensionality reduction of gene expression data for visualization and clustering analysis of cancer tissue samples.
Shi J; Luo Z
Comput Biol Med; 2010 Aug; 40(8):723-32. PubMed ID: 20637456
[TBL] [Abstract][Full Text] [Related]
7. Annotation-based distance measures for patient subgroup discovery in clinical microarray studies.
Lottaz C; Toedling J; Spang R
Bioinformatics; 2007 Sep; 23(17):2256-64. PubMed ID: 17586546
[TBL] [Abstract][Full Text] [Related]
8. Multiple gene expression profile alignment for microarray time-series data clustering.
Subhani N; Rueda L; Ngom A; Burden CJ
Bioinformatics; 2010 Sep; 26(18):2281-8. PubMed ID: 20639411
[TBL] [Abstract][Full Text] [Related]
9. Challenges in projecting clustering results across gene expression-profiling datasets.
Lusa L; McShane LM; Reid JF; De Cecco L; Ambrogi F; Biganzoli E; Gariboldi M; Pierotti MA
J Natl Cancer Inst; 2007 Nov; 99(22):1715-23. PubMed ID: 18000217
[TBL] [Abstract][Full Text] [Related]
10. Markers improve clustering of CGH data.
Liu J; Ranka S; Kahveci T
Bioinformatics; 2007 Feb; 23(4):450-7. PubMed ID: 17150994
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. An iterative data mining approach for mining overlapping coexpression patterns in noisy gene expression data.
Ma PC; Chan KC
IEEE Trans Nanobioscience; 2009 Sep; 8(3):252-8. PubMed ID: 19605326
[TBL] [Abstract][Full Text] [Related]
13. SC(3): Triple spectral clustering-based consensus clustering framework for class discovery from cancer gene expression profiles.
Zhiwen Y; Le L; Jane Y; Hau-San W; Guoqiang H
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(6):1751-65. PubMed ID: 22868680
[TBL] [Abstract][Full Text] [Related]
14. Mixture classification model based on clinical markers for breast cancer prognosis.
Zeng T; Liu J
Artif Intell Med; 2010; 48(2-3):129-37. PubMed ID: 20005686
[TBL] [Abstract][Full Text] [Related]
15. Cancer DNA microarray analysis considering multi-subclass with graph-based clustering method.
Kawamura T; Mutoh H; Tomita Y; Kato R; Honda H
J Biosci Bioeng; 2008 Nov; 106(5):442-8. PubMed ID: 19111639
[TBL] [Abstract][Full Text] [Related]
16. [Gene expression profiling of diffuse-type gastric cancer by cDNA microarray].
Zhang XQ; Yang YQ; Liu BY; Jin XL; Li W; Tang KL; Zhang QH; Lin YZ; Zhu ZG
Zhonghua Zhong Liu Za Zhi; 2006 Feb; 28(2):116-9. PubMed ID: 16750015
[TBL] [Abstract][Full Text] [Related]
17. 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; 48(2-3):91-8. PubMed ID: 19962867
[TBL] [Abstract][Full Text] [Related]
18. Small scale transcript expression profile of Human first trimester placental villi analyzed by a custom-tailored cDNA array.
Khan MA; Kar M; Mittal S; Kumar S; Bharagava VL; Sengupta J; Ghoshi D
Indian J Physiol Pharmacol; 2010; 54(3):235-54. PubMed ID: 21409862
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Determination of the minimum number of microarray experiments for discovery of gene expression patterns.
Wu FX; Zhang WJ; Kusalik AJ
BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S13. PubMed ID: 17217505
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]