These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

169 related articles for article (PubMed ID: 20479508)

  • 1. TCLUST: a fast method for clustering genome-scale expression data.
    Dost B; Wu C; Su A; Bafna V
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(3):808-18. PubMed ID: 20479508
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of clustering algorithms for gene expression data.
    Datta S; Datta S
    BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S17. PubMed ID: 17217509
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Analysis of a Gibbs sampler method for model-based clustering of gene expression data.
    Joshi A; Van de Peer Y; Michoel T
    Bioinformatics; 2008 Jan; 24(2):176-83. PubMed ID: 18033794
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Associative clustering for exploring dependencies between functional genomics data sets.
    Kaski S; Nikkilä J; Sinkkonen J; Lahti L; Knuuttila JE; Roos C
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(3):203-16. PubMed ID: 17044184
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
    Liu H; Tarima S; Borders AS; Getchell TV; Getchell ML; Stromberg AJ
    BMC Bioinformatics; 2005 Apr; 6():106. PubMed ID: 15850479
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A generalized multivariate approach to pattern discovery from replicated and incomplete genome-wide measurements.
    Zhu D; Acharya L; Zhang H
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(5):1153-69. PubMed ID: 21778521
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Model-based clustering on the unit sphere with an illustration using gene expression profiles.
    Dortet-Bernadet JL; Wicker N
    Biostatistics; 2008 Jan; 9(1):66-80. PubMed ID: 17468207
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach.
    Pihur V; Datta S; Datta S
    Bioinformatics; 2007 Jul; 23(13):1607-15. PubMed ID: 17483500
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. An interactive approach to multiobjective clustering of gene expression patterns.
    Mukhopadhyay A; Maulik U; Bandyopadhyay S
    IEEE Trans Biomed Eng; 2013 Jan; 60(1):35-41. PubMed ID: 23033427
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Comparing algorithms for clustering of expression data: how to assess gene clusters.
    Yona G; Dirks W; Rahman S
    Methods Mol Biol; 2009; 541():479-509. PubMed ID: 19381534
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Incorporating biological knowledge into distance-based clustering analysis of microarray gene expression data.
    Huang D; Pan W
    Bioinformatics; 2006 May; 22(10):1259-68. PubMed ID: 16500932
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Consensus framework for exploring microarray data using multiple clustering methods.
    Laderas T; McWeeney S
    OMICS; 2007; 11(1):116-28. PubMed ID: 17411399
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Incorporating gene functions as priors in model-based clustering of microarray gene expression data.
    Pan W
    Bioinformatics; 2006 Apr; 22(7):795-801. PubMed ID: 16434443
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Rough-fuzzy clustering for grouping functionally similar genes from microarray data.
    Maji P; Paul S
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):286-99. PubMed ID: 22848138
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Robust multi-scale clustering of large DNA microarray datasets with the consensus algorithm.
    Grotkjaer T; Winther O; Regenberg B; Nielsen J; Hansen LK
    Bioinformatics; 2006 Jan; 22(1):58-67. PubMed ID: 16257984
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.