315 related articles for article (PubMed ID: 19884096)
1. Efficiently mining time-delayed gene expression patterns.
Wang G; Yin L; Zhao Y; Mao K
IEEE Trans Syst Man Cybern B Cybern; 2010 Apr; 40(2):400-11. PubMed ID: 19884096
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Clustering of change patterns using Fourier coefficients.
Kim J; Kim H
Bioinformatics; 2008 Jan; 24(2):184-91. PubMed ID: 18025003
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Frequent patterns mining in multiple biological sequences.
Chen L; Liu W
Comput Biol Med; 2013 Oct; 43(10):1444-52. PubMed ID: 24034736
[TBL] [Abstract][Full Text] [Related]
6. Identifying projected clusters from gene expression profiles.
Yip KY; Cheung DW; Ng MK; Cheung KH
J Biomed Inform; 2004 Oct; 37(5):345-57. PubMed ID: 15488748
[TBL] [Abstract][Full Text] [Related]
7. Mining coherent dense subgraphs across massive biological networks for functional discovery.
Hu H; Yan X; Huang Y; Han J; Zhou XJ
Bioinformatics; 2005 Jun; 21 Suppl 1():i213-21. PubMed ID: 15961460
[TBL] [Abstract][Full Text] [Related]
8. Application of Multi-SOM clustering approach to macrophage gene expression analysis.
Ghouila A; Yahia SB; Malouche D; Jmel H; Laouini D; Guerfali FZ; Abdelhak S
Infect Genet Evol; 2009 May; 9(3):328-36. PubMed ID: 18992849
[TBL] [Abstract][Full Text] [Related]
9. TA-clustering: cluster analysis of gene expression profiles through Temporal Abstractions.
Sacchi L; Bellazzi R; Larizza C; Magni P; Curk T; Petrovic U; Zupan B
Int J Med Inform; 2005 Aug; 74(7-8):505-17. PubMed ID: 15941669
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Incremental fuzzy mining of gene expression data for gene function prediction.
Ma PC; Chan KC
IEEE Trans Biomed Eng; 2011 May; 58(5):1246-52. PubMed ID: 20403777
[TBL] [Abstract][Full Text] [Related]
13. BARTMAP: a viable structure for biclustering.
Xu R; Wunsch Ii DC
Neural Netw; 2011 Sep; 24(7):709-16. PubMed ID: 21493039
[TBL] [Abstract][Full Text] [Related]
14. Shifting and scaling patterns from gene expression data.
Aguilar-Ruiz JS
Bioinformatics; 2005 Oct; 21(20):3840-5. PubMed ID: 16144809
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Gene association analysis: a survey of frequent pattern mining from gene expression data.
Alves R; Rodriguez-Baena DS; Aguilar-Ruiz JS
Brief Bioinform; 2010 Mar; 11(2):210-24. PubMed ID: 19815645
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Divisive Correlation Clustering Algorithm (DCCA) for grouping of genes: detecting varying patterns in expression profiles.
Bhattacharya A; De RK
Bioinformatics; 2008 Jun; 24(11):1359-66. PubMed ID: 18407922
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Mining patterns in disease classification forests.
Hu H
J Biomed Inform; 2010 Oct; 43(5):820-7. PubMed ID: 20601123
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]