144 related articles for article (PubMed ID: 15998661)
1. Increased power of microarray analysis by use of an algorithm based on a multivariate procedure.
Krohn K; Eszlinger M; Paschke R; Roeder I; Schuster E
Bioinformatics; 2005 Sep; 21(17):3530-4. PubMed ID: 15998661
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Hotelling's T2 multivariate profiling for detecting differential expression in microarrays.
Lu Y; Liu PY; Xiao P; Deng HW
Bioinformatics; 2005 Jul; 21(14):3105-13. PubMed ID: 15905280
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. An interactive power analysis tool for microarray hypothesis testing and generation.
Seo J; Gordish-Dressman H; Hoffman EP
Bioinformatics; 2006 Apr; 22(7):808-14. PubMed ID: 16418236
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Powers of multiple-testing procedures for identification of genes significantly differentially expressed in microarray experiments.
Tan YD; Yan HM
Yi Chuan Xue Bao; 2006 Dec; 33(12):1132-40. PubMed ID: 17185174
[TBL] [Abstract][Full Text] [Related]
10. Flexible empirical Bayes models for differential gene expression.
Lo K; Gottardo R
Bioinformatics; 2007 Feb; 23(3):328-35. PubMed ID: 17138586
[TBL] [Abstract][Full Text] [Related]
11. goCluster integrates statistical analysis and functional interpretation of microarray expression data.
Wrobel G; Chalmel F; Primig M
Bioinformatics; 2005 Sep; 21(17):3575-7. PubMed ID: 16020468
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Identification of differentially expressed genes and false discovery rate in microarray studies.
Gusnanto A; Calza S; Pawitan Y
Curr Opin Lipidol; 2007 Apr; 18(2):187-93. PubMed ID: 17353668
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Long versus short oligonucleotide microarrays for the study of gene expression in nonhuman primates.
Walker SJ; Wang Y; Grant KA; Chan F; Hellmann GM
J Neurosci Methods; 2006 Apr; 152(1-2):179-89. PubMed ID: 16253343
[TBL] [Abstract][Full Text] [Related]
16. An alternative method to amplify RNA without loss of signal conservation for expression analysis with a proteinase DNA microarray in the ArrayTube format.
Schüler S; Wenz I; Wiederanders B; Slickers P; Ehricht R
BMC Genomics; 2006 Jun; 7():144. PubMed ID: 16768788
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Combining multiple microarrays in the presence of controlling variables.
Park T; Yi SG; Shin YK; Lee S
Bioinformatics; 2006 Jul; 22(14):1682-9. PubMed ID: 16705015
[TBL] [Abstract][Full Text] [Related]
19. Multivariate exploratory tools for microarray data analysis.
Szabo A; Boucher K; Jones D; Tsodikov AD; Klebanov LB; Yakovlev AY
Biostatistics; 2003 Oct; 4(4):555-67. PubMed ID: 14557111
[TBL] [Abstract][Full Text] [Related]
20. Use of within-array replicate spots for assessing differential expression in microarray experiments.
Smyth GK; Michaud J; Scott HS
Bioinformatics; 2005 May; 21(9):2067-75. PubMed ID: 15657102
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]