271 related articles for article (PubMed ID: 22551000)
21. 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]
22. 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]
23. 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]
24. A nonparametric empirical Bayes framework for large-scale multiple testing.
Martin R; Tokdar ST
Biostatistics; 2012 Jul; 13(3):427-39. PubMed ID: 22085895
[TBL] [Abstract][Full Text] [Related]
25. DNA microarray data imputation and significance analysis of differential expression.
Jörnsten R; Wang HY; Welsh WJ; Ouyang M
Bioinformatics; 2005 Nov; 21(22):4155-61. PubMed ID: 16118262
[TBL] [Abstract][Full Text] [Related]
26. Putative null distributions corresponding to tests of differential expression in the Golden Spike dataset are intensity dependent.
Gaile DP; Miecznikowski JC
BMC Genomics; 2007 Apr; 8():105. PubMed ID: 17445265
[TBL] [Abstract][Full Text] [Related]
27. How accurately can we control the FDR in analyzing microarray data?
Jung SH; Jang W
Bioinformatics; 2006 Jul; 22(14):1730-6. PubMed ID: 16644791
[TBL] [Abstract][Full Text] [Related]
28. Detecting differential gene expression with a semiparametric hierarchical mixture method.
Newton MA; Noueiry A; Sarkar D; Ahlquist P
Biostatistics; 2004 Apr; 5(2):155-76. PubMed ID: 15054023
[TBL] [Abstract][Full Text] [Related]
29. Estimators of the local false discovery rate designed for small numbers of tests.
Padilla M; Bickel DR
Stat Appl Genet Mol Biol; 2012 Oct; 11(5):4. PubMed ID: 23079518
[TBL] [Abstract][Full Text] [Related]
30. A note on the false discovery rate and inconsistent comparisons between experiments.
Higdon R; van Belle G; Kolker E
Bioinformatics; 2008 May; 24(10):1225-8. PubMed ID: 18424815
[TBL] [Abstract][Full Text] [Related]
31. Semi-parametric differential expression analysis via partial mixture estimation.
Rossell D; Guerra R; Scott C
Stat Appl Genet Mol Biol; 2008; 7(1):Article15. PubMed ID: 18454730
[TBL] [Abstract][Full Text] [Related]
32. Parametric and nonparametric FDR estimation revisited.
Wu B; Guan Z; Zhao H
Biometrics; 2006 Sep; 62(3):735-44. PubMed ID: 16984315
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. 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]
35. 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]
36. Model selection based on FDR-thresholding optimizing the area under the ROC-curve.
Graf AC; Bauer P
Stat Appl Genet Mol Biol; 2009; 8():Article31. PubMed ID: 19572830
[TBL] [Abstract][Full Text] [Related]
37. Simple estimators of false discovery rates given as few as one or two p-values without strong parametric assumptions.
Bickel DR
Stat Appl Genet Mol Biol; 2013 Aug; 12(4):529-43. PubMed ID: 23798617
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. A hierarchical semiparametric model for incorporating intergene information for analysis of genomic data.
Qu L; Nettleton D; Dekkers JC
Biometrics; 2012 Dec; 68(4):1168-77. PubMed ID: 22994883
[TBL] [Abstract][Full Text] [Related]
40. A mixture model approach to sample size estimation in two-sample comparative microarray experiments.
Jørstad TS; Midelfart H; Bones AM
BMC Bioinformatics; 2008 Feb; 9():117. PubMed ID: 18298817
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
