BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

219 related articles for article (PubMed ID: 20802251)

  • 21. Knowledge guided analysis of microarray data.
    Fang Z; Yang J; Li Y; Luo Q; Liu L
    J Biomed Inform; 2006 Aug; 39(4):401-11. PubMed ID: 16214421
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. A simple and robust algorithm for microarray data clustering based on gene population-variance ratio metric.
    Chatterjee S; Bhattacharjee K; Konar A
    Biotechnol J; 2009 Sep; 4(9):1357-61. PubMed ID: 19579218
    [TBL] [Abstract][Full Text] [Related]  

  • 24. goCluster integrates statistical analysis and functional interpretation of microarray expression data.
    Wrobel G; Chalmel F; Primig M
    Bioinformatics; 2005 Sep; 21(17):3575-7. PubMed ID: 16020468
    [TBL] [Abstract][Full Text] [Related]  

  • 25. How does gene expression clustering work?
    D'haeseleer P
    Nat Biotechnol; 2005 Dec; 23(12):1499-501. PubMed ID: 16333293
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. Gene-Expression Omnibus integration and clustering tools in SeqExpress.
    Boyle J
    Bioinformatics; 2005 May; 21(10):2550-1. PubMed ID: 15746290
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Clustering of gene expression data via normal mixture models.
    McLachlan GJ; Flack LK; Ng SK; Wang K
    Methods Mol Biol; 2013; 972():103-19. PubMed ID: 23385534
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Classification of oligonucleotide fingerprints: application for microbial community and gene expression analyses.
    Jampachaisri K; Valinsky L; Borneman J; Press SJ
    Bioinformatics; 2005 Jul; 21(14):3122-30. PubMed ID: 15845655
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Robust clustering using exponential power mixtures.
    Zhang J; Liang F
    Biometrics; 2010 Dec; 66(4):1078-86. PubMed ID: 20163406
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Classification approaches for microarray gene expression data analysis.
    Cheung LW
    Methods Mol Biol; 2012; 802():73-85. PubMed ID: 22130874
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Penalized gaussian process regression and classification for high-dimensional nonlinear data.
    Yi G; Shi JQ; Choi T
    Biometrics; 2011 Dec; 67(4):1285-94. PubMed ID: 21385168
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Analyzing gene expression time-courses.
    Schliep A; Costa IG; Steinhoff C; Schönhuth A
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(3):179-93. PubMed ID: 17044182
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Model-based approaches to synthesize microarray data: a unifying review using mixture of SEMs.
    Martella F; Vermunt JK
    Stat Methods Med Res; 2013 Dec; 22(6):567-82. PubMed ID: 21948997
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Feature selection for gene expression using model-based entropy.
    Zhu S; Wang D; Yu K; Li T; Gong Y
    IEEE/ACM Trans Comput Biol Bioinform; 2010; 7(1):25-36. PubMed ID: 20150666
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space.
    Khalili A; Chen J; Lin S
    Biostatistics; 2011 Jan; 12(1):156-72. PubMed ID: 20716532
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 11.