452 related articles for article (PubMed ID: 17825012)
1. 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]
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. 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]
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. 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]
6. 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]
7. twilight; a Bioconductor package for estimating the local false discovery rate.
Scheid S; Spang R
Bioinformatics; 2005 Jun; 21(12):2921-2. PubMed ID: 15817688
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Tail posterior probability for inference in pairwise and multiclass gene expression data.
Bochkina N; Richardson S
Biometrics; 2007 Dec; 63(4):1117-25. PubMed ID: 18078482
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A note on using permutation-based false discovery rate estimates to compare different analysis methods for microarray data.
Xie Y; Pan W; Khodursky AB
Bioinformatics; 2005 Dec; 21(23):4280-8. PubMed ID: 16188930
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Estimation of false discovery proportion under general dependence.
Pawitan Y; Calza S; Ploner A
Bioinformatics; 2006 Dec; 22(24):3025-31. PubMed ID: 17046978
[TBL] [Abstract][Full Text] [Related]
14. Construction of null statistics in permutation-based multiple testing for multi-factorial microarray experiments.
Gao X
Bioinformatics; 2006 Jun; 22(12):1486-94. PubMed ID: 16574697
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Improved estimation of the noncentrality parameter distribution from a large number of t-statistics, with applications to false discovery rate estimation in microarray data analysis.
Qu L; Nettleton D; Dekkers JC
Biometrics; 2012 Dec; 68(4):1178-87. PubMed ID: 22551000
[TBL] [Abstract][Full Text] [Related]
17. Identification of differentially expressed gene categories in microarray studies using nonparametric multivariate analysis.
Nettleton D; Recknor J; Reecy JM
Bioinformatics; 2008 Jan; 24(2):192-201. PubMed ID: 18042553
[TBL] [Abstract][Full Text] [Related]
18. Bias in error estimation when using cross-validation for model selection.
Varma S; Simon R
BMC Bioinformatics; 2006 Feb; 7():91. PubMed ID: 16504092
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]