BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

308 related articles for article (PubMed ID: 21319900)

  • 1. Evaluating mixture modeling for clustering: recommendations and cautions.
    Steinley D; Brusco MJ
    Psychol Methods; 2011 Mar; 16(1):63-79. PubMed ID: 21319900
    [TBL] [Abstract][Full Text] [Related]  

  • 2. K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011).
    Vermunt JK
    Psychol Methods; 2011 Mar; 16(1):82-8; discussion 89-92. PubMed ID: 21381819
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Commentary on Steinley and Brusco (2011): recommendations and cautions.
    McLachlan GJ
    Psychol Methods; 2011 Mar; 16(1):80-1; discussion 89-92. PubMed ID: 21381818
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Profiling local optima in K-means clustering: developing a diagnostic technique.
    Steinley D
    Psychol Methods; 2006 Jun; 11(2):178-92. PubMed ID: 16784337
    [TBL] [Abstract][Full Text] [Related]  

  • 5. High-dimensional unsupervised selection and estimation of a finite generalized Dirichlet mixture model based on minimum message length.
    Bouguila N; Ziou D
    IEEE Trans Pattern Anal Mach Intell; 2007 Oct; 29(10):1716-31. PubMed ID: 17699918
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Subset clustering of binary sequences, with an application to genomic abnormality data.
    Hoff PD
    Biometrics; 2005 Dec; 61(4):1027-36. PubMed ID: 16401276
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detecting latent taxa: Monte Carlo comparison of taxometric, mixture model, and clustering procedures.
    Cleland CM; Rothschild L; Haslam N
    Psychol Rep; 2000 Aug; 87(1):37-47. PubMed ID: 11026388
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Taxometric analysis as a general strategy for distinguishing categorical from dimensional latent structure.
    McGrath RE; Walters GD
    Psychol Methods; 2012 Jun; 17(2):284-93. PubMed ID: 22251269
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bayesian mixture modeling using a hybrid sampler with application to protein subfamily identification.
    Fong Y; Wakefield J; Rice K
    Biostatistics; 2010 Jan; 11(1):18-33. PubMed ID: 19696187
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Penalized probabilistic clustering.
    Lu Z; Leen TK
    Neural Comput; 2007 Jun; 19(6):1528-67. PubMed ID: 17444759
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian finite Markov mixture model for temporal multi-tissue polygenic patterns.
    Liang Y; Kelemen A
    Biom J; 2009 Feb; 51(1):56-69. PubMed ID: 19197952
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Statistical models for spatial analysis in parasitology].
    Biggeri A; Catelan D; Dreassi E; Lagazio C; Cringoli G
    Parassitologia; 2004 Jun; 46(1-2):75-8. PubMed ID: 15305691
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Model-based clustering of microarray expression data via latent Gaussian mixture models.
    McNicholas PD; Murphy TB
    Bioinformatics; 2010 Nov; 26(21):2705-12. PubMed ID: 20802251
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Simultaneous feature selection and clustering using mixture models.
    Law MH; Figueiredo MA; Jain AK
    IEEE Trans Pattern Anal Mach Intell; 2004 Sep; 26(9):1154-66. PubMed ID: 15742891
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A cluster model for space-time disease counts.
    Yan P; Clayton MK
    Stat Med; 2006 Mar; 25(5):867-81. PubMed ID: 16453380
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detecting the number of clusters in n-way probabilistic clustering.
    He Z; Cichocki A; Xie S; Choi K
    IEEE Trans Pattern Anal Mach Intell; 2010 Nov; 32(11):2006-21. PubMed ID: 20847390
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Variable selection for clustering with Gaussian mixture models.
    Maugis C; Celeux G; Martin-Magniette ML
    Biometrics; 2009 Sep; 65(3):701-9. PubMed ID: 19210744
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. How many clusters? An information-theoretic perspective.
    Still S; Bialek W
    Neural Comput; 2004 Dec; 16(12):2483-506. PubMed ID: 15516271
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.