These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

345 related articles for article (PubMed ID: 20309757)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Work efficiency: a new criterion for comprehensive comparison and evaluation of statistical methods in large-scale identification of differentially expressed genes.
    Tan YD
    Genomics; 2011 Nov; 98(5):390-9. PubMed ID: 21741470
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. 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]  

  • 12. An investigation on performance of Significance Analysis of Microarray (SAM) for the comparisons of several treatments with one control in the presence of small-variance genes.
    Lin D; Shkedy Z; Burzykowski T; Ion R; Göhlmann HW; Bondt AD; Perer T; Geerts T; Van den Wyngaert I; Bijnens L
    Biom J; 2008 Oct; 50(5):801-23. PubMed ID: 18932139
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Determination of the differentially expressed genes in microarray experiments using local FDR.
    Aubert J; Bar-Hen A; Daudin JJ; Robin S
    BMC Bioinformatics; 2004 Sep; 5():125. PubMed ID: 15350197
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. On the identification of differentially expressed genes: improving the generalized F-statistics for Affymetrix microarray gene expression data.
    Lai Y
    Comput Biol Chem; 2006 Oct; 30(5):321-6. PubMed ID: 16979381
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. A permutation two one-sided tests procedure to detect minimal fold changes of gene expression levels.
    Liu JP; Liao CT; Chiu ST; Dai JY
    J Biopharm Stat; 2008; 18(5):808-26. PubMed ID: 18781518
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. 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]  

    [Next]    [New Search]
    of 18.