BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 17376221)

  • 1. Including probe-level uncertainty in model-based gene expression clustering.
    Liu X; Lin KK; Andersen B; Rattray M
    BMC Bioinformatics; 2007 Mar; 8():98. PubMed ID: 17376221
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Including probe-level measurement error in robust mixture clustering of replicated microarray gene expression.
    Liu X; Rattray M
    Stat Appl Genet Mol Biol; 2010; 9():Article42. PubMed ID: 21194414
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Probe-level measurement error improves accuracy in detecting differential gene expression.
    Liu X; Milo M; Lawrence ND; Rattray M
    Bioinformatics; 2006 Sep; 22(17):2107-13. PubMed ID: 16820429
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Effect of data normalization on fuzzy clustering of DNA microarray data.
    Kim SY; Lee JW; Bae JS
    BMC Bioinformatics; 2006 Mar; 7():134. PubMed ID: 16533412
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An approach for clustering gene expression data with error information.
    Tjaden B
    BMC Bioinformatics; 2006 Jan; 7():17. PubMed ID: 16409635
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays.
    Seo J; Bakay M; Chen YW; Hilmer S; Shneiderman B; Hoffman EP
    Bioinformatics; 2004 Nov; 20(16):2534-44. PubMed ID: 15117752
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A multi-stage approach to clustering and imputation of gene expression profiles.
    Wong DS; Wong FK; Wood GR
    Bioinformatics; 2007 Apr; 23(8):998-1005. PubMed ID: 17308340
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Clustering and re-clustering for pattern discovery in gene expression data.
    Ma PC; Chan KC; Chiu DK
    J Bioinform Comput Biol; 2005 Apr; 3(2):281-301. PubMed ID: 15852506
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Gaussian mixture clustering and imputation of microarray data.
    Ouyang M; Welsh WJ; Georgopoulos P
    Bioinformatics; 2004 Apr; 20(6):917-23. PubMed ID: 14751970
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. Clustering of gene expression data and end-point measurements by simulated annealing.
    Bushel PR
    J Bioinform Comput Biol; 2009 Feb; 7(1):193-215. PubMed ID: 19226667
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip studies.
    Hu Z; Willsky GR
    BMC Bioinformatics; 2006 Jan; 7():12. PubMed ID: 16403228
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Redefinition of Affymetrix probe sets by sequence overlap with cDNA microarray probes reduces cross-platform inconsistencies in cancer-associated gene expression measurements.
    Carter SL; Eklund AC; Mecham BH; Kohane IS; Szallasi Z
    BMC Bioinformatics; 2005 Apr; 6():107. PubMed ID: 15850491
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rank-based clustering analysis for the time-course microarray data.
    Yi SG; Joo YJ; Park T
    J Bioinform Comput Biol; 2009 Feb; 7(1):75-91. PubMed ID: 19226661
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Empirical Bayes models for multiple probe type microarrays at the probe level.
    Astrand M; Mostad P; Rudemo M
    BMC Bioinformatics; 2008 Mar; 9():156. PubMed ID: 18366694
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.