313 related articles for article (PubMed ID: 23164195)
1. Clustering gene expression data using a diffraction-inspired framework.
Dinger SC; Van Wyk MA; Carmona S; Rubin DM
Biomed Eng Online; 2012 Nov; 11():85. PubMed ID: 23164195
[TBL] [Abstract][Full Text] [Related]
2. Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes.
Datta S; Datta S
BMC Bioinformatics; 2006 Aug; 7():397. PubMed ID: 16945146
[TBL] [Abstract][Full Text] [Related]
3. An improved algorithm for clustering gene expression data.
Bandyopadhyay S; Mukhopadhyay A; Maulik U
Bioinformatics; 2007 Nov; 23(21):2859-65. PubMed ID: 17720981
[TBL] [Abstract][Full Text] [Related]
4. A new validity measure for a correlation-based fuzzy c-means clustering algorithm.
Zhang M; Zhang W; Sicotte H; Yang P
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3865-8. PubMed ID: 19963601
[TBL] [Abstract][Full Text] [Related]
5. Microarray data clustering based on temporal variation: FCV with TSD preclustering.
Möller-Levet CS; Cho KH; Wolkenhauer O
Appl Bioinformatics; 2003; 2(1):35-45. PubMed ID: 15130832
[TBL] [Abstract][Full Text] [Related]
6. Effect of data normalization on fuzzy clustering of DNA microarray data.
Kim SY; Lee JW; Bae JS
BMC Bioinformatics; 2006 Mar; 7():134. PubMed ID: 16533412
[TBL] [Abstract][Full Text] [Related]
7. Clustering of gene expression data: performance and similarity analysis.
Yin L; Huang CH; Ni J
BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S19. PubMed ID: 17217511
[TBL] [Abstract][Full Text] [Related]
8. A unified framework for finding differentially expressed genes from microarray experiments.
Shaik JS; Yeasin M
BMC Bioinformatics; 2007 Sep; 8():347. PubMed ID: 17877806
[TBL] [Abstract][Full Text] [Related]
9. Subdimension-based similarity measure for DNA microarray data clustering.
Lam BS; Yan H
Phys Rev E Stat Nonlin Soft Matter Phys; 2006 Oct; 74(4 Pt 1):041906. PubMed ID: 17155095
[TBL] [Abstract][Full Text] [Related]
10. SMART: unique splitting-while-merging framework for gene clustering.
Fa R; Roberts DJ; Nandi AK
PLoS One; 2014; 9(4):e94141. PubMed ID: 24714159
[TBL] [Abstract][Full Text] [Related]
11. A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings.
Torrente A; Kapushesky M; Brazma A
Bioinformatics; 2005 Nov; 21(21):3993-9. PubMed ID: 16141251
[TBL] [Abstract][Full Text] [Related]
12. An effective fuzzy kernel clustering analysis approach for gene expression data.
Sun L; Xu J; Yin J
Biomed Mater Eng; 2015; 26 Suppl 1():S1863-9. PubMed ID: 26405958
[TBL] [Abstract][Full Text] [Related]
13. Dynamic range-based distance measure for microarray expressions and a fast gene-ordering algorithm.
Ray SS; Bandyopadhyay S; Pal SK
IEEE Trans Syst Man Cybern B Cybern; 2007 Jun; 37(3):742-9. PubMed ID: 17550128
[TBL] [Abstract][Full Text] [Related]
14. Noise-robust soft clustering of gene expression time-course data.
Futschik ME; Carlisle B
J Bioinform Comput Biol; 2005 Aug; 3(4):965-88. PubMed ID: 16078370
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Minimum entropy clustering and applications to gene expression analysis.
Li H; Zhang K; Jiang T
Proc IEEE Comput Syst Bioinform Conf; 2004; ():142-51. PubMed ID: 16448008
[TBL] [Abstract][Full Text] [Related]
17. Detecting clusters of different geometrical shapes in microarray gene expression data.
Kim DW; Lee KH; Lee D
Bioinformatics; 2005 May; 21(9):1927-34. PubMed ID: 15647300
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A mixture model with random-effects components for clustering correlated gene-expression profiles.
Ng SK; McLachlan GJ; Wang K; Ben-Tovim Jones L; Ng SW
Bioinformatics; 2006 Jul; 22(14):1745-52. PubMed ID: 16675467
[TBL] [Abstract][Full Text] [Related]
20. ParaKMeans: Implementation of a parallelized K-means algorithm suitable for general laboratory use.
Kraj P; Sharma A; Garge N; Podolsky R; McIndoe RA
BMC Bioinformatics; 2008 Apr; 9():200. PubMed ID: 18416829
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
