80 related articles for article (PubMed ID: 22906473)
1. Identification of differentially expressed genes using multi-resolution wavelet transformation analysis combined with SAM.
Wu Y; Zhang L; Liu L; Zhang Y; Yi D
Gene; 2012 Nov; 509(2):302-8. PubMed ID: 22906473
[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. 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]
4. 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]
5. A practical false discovery rate approach to identifying patterns of differential expression in microarray data.
Grant GR; Liu J; Stoeckert CJ
Bioinformatics; 2005 Jun; 21(11):2684-90. PubMed ID: 15797908
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. A non-transformation method for identifying differentially expressed genes from cDNA microarrays.
Zhang JG; Yin ZJ; Zhang Q
Yi Chuan Xue Bao; 2006 Jan; 33(1):80-8. PubMed ID: 16450591
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Cross platform microarray analysis for robust identification of differentially expressed genes.
Bosotti R; Locatelli G; Healy S; Scacheri E; Sartori L; Mercurio C; Calogero R; Isacchi A
BMC Bioinformatics; 2007 Mar; 8 Suppl 1(Suppl 1):S5. PubMed ID: 17430572
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
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. Detecting differentially expressed genes by relative entropy.
Yan X; Deng M; Fung WK; Qian M
J Theor Biol; 2005 Jun; 234(3):395-402. PubMed ID: 15784273
[TBL] [Abstract][Full Text] [Related]
16. A statistical method for estimating the proportion of differentially expressed genes.
Lai Y
Comput Biol Chem; 2006 Jun; 30(3):193-202. PubMed ID: 16650806
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. 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]
20. A two-step multiple comparison procedure for a large number of tests and multiple treatments.
Jiang H; Doerge RW
Stat Appl Genet Mol Biol; 2006; 5():Article28. PubMed ID: 17402912
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]