BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

443 related articles for article (PubMed ID: 15845654)

  • 1. Sample size for FDR-control in microarray data analysis.
    Jung SH
    Bioinformatics; 2005 Jul; 21(14):3097-104. PubMed ID: 15845654
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Practical FDR-based sample size calculations in microarray experiments.
    Hu J; Zou F; Wright FA
    Bioinformatics; 2005 Aug; 21(15):3264-72. PubMed ID: 15932903
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quick calculation for sample size while controlling false discovery rate with application to microarray analysis.
    Liu P; Hwang JT
    Bioinformatics; 2007 Mar; 23(6):739-46. PubMed ID: 17237060
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating the false discovery rate using nonparametric deconvolution.
    van de Wiel MA; Kim KI
    Biometrics; 2007 Sep; 63(3):806-15. PubMed ID: 17825012
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sample size calculation through the incorporation of heteroscedasticity and dependence for a penalized t-statistic in microarray experiments.
    Hirakawa A; Hamada C; Yoshimura I
    J Biopharm Stat; 2012; 22(2):260-75. PubMed ID: 22251173
    [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. FDR-controlling testing procedures and sample size determination for microarrays.
    Li SS; Bigler J; Lampe JW; Potter JD; Feng Z
    Stat Med; 2005 Aug; 24(15):2267-80. PubMed ID: 15977294
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. A weighted sample size for microarray datasets that considers the variability of variance and multiplicity.
    Kim KY; Chung HC; Rha SY
    J Biosci Bioeng; 2009 Sep; 108(3):252-8. PubMed ID: 19664562
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multidimensional local false discovery rate for microarray studies.
    Ploner A; Calza S; Gusnanto A; Pawitan Y
    Bioinformatics; 2006 Mar; 22(5):556-65. PubMed ID: 16368770
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sample size determination for the false discovery rate.
    Pounds S; Cheng C
    Bioinformatics; 2005 Dec; 21(23):4263-71. PubMed ID: 16204346
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploiting sample variability to enhance multivariate analysis of microarray data.
    Möller-Levet CS; West CM; Miller CJ
    Bioinformatics; 2007 Oct; 23(20):2733-40. PubMed ID: 17827205
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bias in the estimation of false discovery rate in microarray studies.
    Pawitan Y; Murthy KR; Michiels S; Ploner A
    Bioinformatics; 2005 Oct; 21(20):3865-72. PubMed ID: 16105901
    [TBL] [Abstract][Full Text] [Related]  

  • 14. False discovery rate, sensitivity and sample size for microarray studies.
    Pawitan Y; Michiels S; Koscielny S; Gusnanto A; Ploner A
    Bioinformatics; 2005 Jul; 21(13):3017-24. PubMed ID: 15840707
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robust estimation of the false discovery rate.
    Pounds S; Cheng C
    Bioinformatics; 2006 Aug; 22(16):1979-87. PubMed ID: 16777905
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Sample size calculation with dependence adjustment for FDR-control in microarray studies.
    Shao Y; Tseng CH
    Stat Med; 2007 Oct; 26(23):4219-37. PubMed ID: 17328091
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments.
    Matsui S; Noma H
    Biometrics; 2011 Dec; 67(4):1225-35. PubMed ID: 21627629
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Understanding sample size: what determines the required number of microarrays for an experiment?
    Jørstad TS; Langaas M; Bones AM
    Trends Plant Sci; 2007 Feb; 12(2):46-50. PubMed ID: 17229587
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A new outlier removal approach for cDNA microarray normalization.
    Wu Y; Yan L; Liu H; Sun H; Xie H
    Biotechniques; 2009 Aug; 47(2):691-2, 694-700. PubMed ID: 19737130
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 23.