BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

502 related articles for article (PubMed ID: 19875860)

  • 1. Modeling and visualizing uncertainty in gene expression clusters using dirichlet process mixtures.
    Rasmussen CE; de la Cruz BJ; Ghahramani Z; Wild DL
    IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(4):615-28. PubMed ID: 19875860
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Inferential clustering approach for microarray experiments with replicated measurements.
    SalicrĂș M; Vives S; Zheng T
    IEEE/ACM Trans Comput Biol Bioinform; 2009; 6(4):594-604. PubMed ID: 19875858
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. Context-specific infinite mixtures for clustering gene expression profiles across diverse microarray dataset.
    Liu X; Sivaganesan S; Yeung KY; Guo J; Bumgarner RE; Medvedovic M
    Bioinformatics; 2006 Jul; 22(14):1737-44. PubMed ID: 16709591
    [TBL] [Abstract][Full Text] [Related]  

  • 6. TimeClust: a clustering tool for gene expression time series.
    Magni P; Ferrazzi F; Sacchi L; Bellazzi R
    Bioinformatics; 2008 Feb; 24(3):430-2. PubMed ID: 18065427
    [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. R/BHC: fast Bayesian hierarchical clustering for microarray data.
    Savage RS; Heller K; Xu Y; Ghahramani Z; Truman WM; Grant M; Denby KJ; Wild DL
    BMC Bioinformatics; 2009 Aug; 10():242. PubMed ID: 19660130
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian mixture model based clustering of replicated microarray data.
    Medvedovic M; Yeung KY; Bumgarner RE
    Bioinformatics; 2004 May; 20(8):1222-32. PubMed ID: 14871871
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An adaptive meta-clustering approach: combining the information from different clustering results.
    Zeng Y; Tang J; Garcia-Frias J; Gao GR
    Proc IEEE Comput Soc Bioinform Conf; 2002; 1():276-87. PubMed ID: 15838144
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Supervised cluster analysis for microarray data based on multivariate Gaussian mixture.
    Qu Y; Xu S
    Bioinformatics; 2004 Aug; 20(12):1905-13. PubMed ID: 15044244
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Unsupervised pattern recognition: an introduction to the whys and wherefores of clustering microarray data.
    Boutros PC; Okey AB
    Brief Bioinform; 2005 Dec; 6(4):331-43. PubMed ID: 16420732
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. ArrayCluster: an analytic tool for clustering, data visualization and module finder on gene expression profiles.
    Yoshida R; Higuchi T; Imoto S; Miyano S
    Bioinformatics; 2006 Jun; 22(12):1538-9. PubMed ID: 16606685
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. A new clustering method for microarray data analysis.
    Zhang L; Zhu S
    Proc IEEE Comput Soc Bioinform Conf; 2002; 1():268-75. PubMed ID: 15838143
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A variational Bayesian mixture modelling framework for cluster analysis of gene-expression data.
    Teschendorff AE; Wang Y; Barbosa-Morais NL; Brenton JD; Caldas C
    Bioinformatics; 2005 Jul; 21(13):3025-33. PubMed ID: 15860564
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A fully Bayesian model to cluster gene-expression profiles.
    Vogl C; Sanchez-Cabo F; Stocker G; Hubbard S; Wolkenhauer O; Trajanoski Z
    Bioinformatics; 2005 Sep; 21 Suppl 2():ii130-6. PubMed ID: 16204092
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.