BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

231 related articles for article (PubMed ID: 14557114)

  • 1. Statistical analysis of microarray data: a Bayesian approach.
    Gottardo R; Pannucci JA; Kuske CR; Brettin T
    Biostatistics; 2003 Oct; 4(4):597-620. PubMed ID: 14557114
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Empirical Bayes screening of many p-values with applications to microarray studies.
    Datta S; Datta S
    Bioinformatics; 2005 May; 21(9):1987-94. PubMed ID: 15691856
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Significance testing for small microarray experiments.
    Kooperberg C; Aragaki A; Strand AD; Olson JM
    Stat Med; 2005 Aug; 24(15):2281-98. PubMed ID: 15889452
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Microarray data analysis: a hierarchical T-test to handle heteroscedasticity.
    de Menezes RX; Boer JM; van Houwelingen HC
    Appl Bioinformatics; 2004; 3(4):229-35. PubMed ID: 15702953
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Hierarchical Bayes models for cDNA microarray gene expression.
    Lönnstedt I; Britton T
    Biostatistics; 2005 Apr; 6(2):279-91. PubMed ID: 15772106
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data.
    Shedden K; Chen W; Kuick R; Ghosh D; Macdonald J; Cho KR; Giordano TJ; Gruber SB; Fearon ER; Taylor JM; Hanash S
    BMC Bioinformatics; 2005 Feb; 6():26. PubMed ID: 15705192
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Probability fold change: a robust computational approach for identifying differentially expressed gene lists.
    Deng X; Xu J; Hui J; Wang C
    Comput Methods Programs Biomed; 2009 Feb; 93(2):124-39. PubMed ID: 18842321
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sample size calculation for multiple testing in microarray data analysis.
    Jung SH; Bang H; Young S
    Biostatistics; 2005 Jan; 6(1):157-69. PubMed ID: 15618534
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multivariate exploratory tools for microarray data analysis.
    Szabo A; Boucher K; Jones D; Tsodikov AD; Klebanov LB; Yakovlev AY
    Biostatistics; 2003 Oct; 4(4):555-67. PubMed ID: 14557111
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On parametric empirical Bayes methods for comparing multiple groups using replicated gene expression profiles.
    Kendziorski CM; Newton MA; Lan H; Gould MN
    Stat Med; 2003 Dec; 22(24):3899-914. PubMed ID: 14673946
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparing three methods for variance estimation with duplicated high density oligonucleotide arrays.
    Huang X; Pan W
    Funct Integr Genomics; 2002 Aug; 2(3):126-33. PubMed ID: 12185460
    [TBL] [Abstract][Full Text] [Related]  

  • 12. EVE (external variance estimation) increases statistical power for detecting differentially expressed genes.
    Wille A; Gruissem W; Bühlmann P; Hennig L
    Plant J; 2007 Nov; 52(3):561-9. PubMed ID: 17680783
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A unified approach for simultaneous gene clustering and differential expression identification.
    Yuan M; Kendziorski C
    Biometrics; 2006 Dec; 62(4):1089-98. PubMed ID: 17156283
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.
    Barrera L; Benner C; Tao YC; Winzeler E; Zhou Y
    BMC Bioinformatics; 2004 Apr; 5():42. PubMed ID: 15099405
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of a statistical equivalence test applied to microarray data.
    Qiu J; Cui X
    J Biopharm Stat; 2010 Mar; 20(2):240-66. PubMed ID: 20309757
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Bayesian approach to estimation and testing in time-course microarray experiments.
    Angelini C; De Canditiis D; Mutarelli M; Pensky M
    Stat Appl Genet Mol Biol; 2007; 6():Article24. PubMed ID: 17910530
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Selection of differentially expressed genes in microarray data analysis.
    Chen JJ; Wang SJ; Tsai CA; Lin CJ
    Pharmacogenomics J; 2007 Jun; 7(3):212-20. PubMed ID: 16940966
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Selection and validation of normalization methods for c-DNA microarrays using within-array replications.
    Fan J; Niu Y
    Bioinformatics; 2007 Sep; 23(18):2391-8. PubMed ID: 17660210
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Data-adaptive test statistics for microarray data.
    Mukherjee S; Roberts SJ; van der Laan MJ
    Bioinformatics; 2005 Sep; 21 Suppl 2():ii108-14. PubMed ID: 16204088
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An empirical bayesian method for differential expression studies using one-channel microarray data.
    Lin Y; Reynolds P; Feingold E
    Stat Appl Genet Mol Biol; 2003; 2():Article8. PubMed ID: 16646786
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.