205 related articles for article (PubMed ID: 16086831)
1. A comparative review of estimates of the proportion unchanged genes and the false discovery rate.
Broberg P
BMC Bioinformatics; 2005 Aug; 6():199. PubMed ID: 16086831
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. Rank-invariant resampling based estimation of false discovery rate for analysis of small sample microarray data.
Jain N; Cho H; O'Connell M; Lee JK
BMC Bioinformatics; 2005 Jul; 6():187. PubMed ID: 16042779
[TBL] [Abstract][Full Text] [Related]
7. Comparison of false discovery rate methods in identifying genes with differential expression.
Qian HR; Huang S
Genomics; 2005 Oct; 86(4):495-503. PubMed ID: 16054333
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Statistical significance threshold criteria for analysis of microarray gene expression data.
Cheng C; Pounds SB; Boyett JM; Pei D; Kuo ML; Roussel MF
Stat Appl Genet Mol Biol; 2004; 3():Article36. PubMed ID: 16646816
[TBL] [Abstract][Full Text] [Related]
11. ExactFDR: exact computation of false discovery rate estimate in case-control association studies.
Wojcik J; Forner K
Bioinformatics; 2008 Oct; 24(20):2407-8. PubMed ID: 18662924
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. A microarray gene expression study of the molecular pharmacology of lithium carbonate on mouse brain mRNA to understand the neurobiology of mood stabilization and treatment of bipolar affective disorder.
McQuillin A; Rizig M; Gurling HM
Pharmacogenet Genomics; 2007 Aug; 17(8):605-17. PubMed ID: 17622937
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Gene Ontology analysis in multiple gene clusters under multiple hypothesis testing framework.
Zhong S; Xie D
Artif Intell Med; 2007 Oct; 41(2):105-15. PubMed ID: 17913480
[TBL] [Abstract][Full Text] [Related]
19. False discovery rate and permutation test: an evaluation in ERP data analysis.
Lage-Castellanos A; Martínez-Montes E; Hernández-Cabrera JA; Galán L
Stat Med; 2010 Jan; 29(1):63-74. PubMed ID: 19941298
[TBL] [Abstract][Full Text] [Related]
20. Calibrating E-values for hidden Markov models using reverse-sequence null models.
Karplus K; Karchin R; Shackelford G; Hughey R
Bioinformatics; 2005 Nov; 21(22):4107-15. PubMed ID: 16123115
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
