312 related articles for article (PubMed ID: 14555628)
1. Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays.
Jain N; Thatte J; Braciale T; Ley K; O'Connell M; Lee JK
Bioinformatics; 2003 Oct; 19(15):1945-51. PubMed ID: 14555628
[TBL] [Abstract][Full Text] [Related]
2. Rosetta error model for gene expression analysis.
Weng L; Dai H; Zhan Y; He Y; Stepaniants SB; Bassett DE
Bioinformatics; 2006 May; 22(9):1111-21. PubMed ID: 16522673
[TBL] [Abstract][Full Text] [Related]
3. Bayesian hierarchical error model for analysis of gene expression data.
Cho H; Lee JK
Bioinformatics; 2004 Sep; 20(13):2016-25. PubMed ID: 15044230
[TBL] [Abstract][Full Text] [Related]
4. A statistical framework for the design of microarray experiments and effective detection of differential gene expression.
Zhang SD; Gant TW
Bioinformatics; 2004 Nov; 20(16):2821-8. PubMed ID: 15180939
[TBL] [Abstract][Full Text] [Related]
5. Comparison of small n statistical tests of differential expression applied to microarrays.
Murie C; Woody O; Lee AY; Nadon R
BMC Bioinformatics; 2009 Feb; 10():45. PubMed ID: 19192265
[TBL] [Abstract][Full Text] [Related]
6. Normal uniform mixture differential gene expression detection for cDNA microarrays.
Dean N; Raftery AE
BMC Bioinformatics; 2005 Jul; 6():173. PubMed ID: 16011807
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data.
Mansourian R; Mutch DM; Antille N; Aubert J; Fogel P; Le Goff JM; Moulin J; Petrov A; Rytz A; Voegel JJ; Roberts MA
Bioinformatics; 2004 Nov; 20(16):2726-37. PubMed ID: 15145801
[TBL] [Abstract][Full Text] [Related]
9. Support vector machine quantile regression for detecting differentially expressed genes in microarray analysis.
Sohn I; Kim S; Hwang C; Lee JW; Shim J
Methods Inf Med; 2008; 47(5):459-67. PubMed ID: 18852921
[TBL] [Abstract][Full Text] [Related]
10. Error-pooling-based statistical methods for identifying novel temporal replication profiles of human chromosomes observed by DNA tiling arrays.
Park T; Kim Y; Bekiranov S; Lee JK
Nucleic Acids Res; 2007; 35(9):e69. PubMed ID: 17430969
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A generalized likelihood ratio test to identify differentially expressed genes from microarray data.
Wang S; Ethier S
Bioinformatics; 2004 Jan; 20(1):100-4. PubMed ID: 14693815
[TBL] [Abstract][Full Text] [Related]
13. Identifying differentially expressed genes using false discovery rate controlling procedures.
Reiner A; Yekutieli D; Benjamini Y
Bioinformatics; 2003 Feb; 19(3):368-75. PubMed ID: 12584122
[TBL] [Abstract][Full Text] [Related]
14. Noise sampling method: an ANOVA approach allowing robust selection of differentially regulated genes measured by DNA microarrays.
Draghici S; Kulaeva O; Hoff B; Petrov A; Shams S; Tainsky MA
Bioinformatics; 2003 Jul; 19(11):1348-59. PubMed ID: 12874046
[TBL] [Abstract][Full Text] [Related]
15. Statistical analysis of high-density oligonucleotide arrays: a multiplicative noise model.
Sásik R; Calvo E; Corbeil J
Bioinformatics; 2002 Dec; 18(12):1633-40. PubMed ID: 12490448
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. A renewed approach to the nonparametric analysis of replicated microarray experiments.
Jung K; Quast K; Gannoun A; Urfer W
Biom J; 2006 Apr; 48(2):245-54. PubMed ID: 16708776
[TBL] [Abstract][Full Text] [Related]
18. A correction for estimating error when using the Local Pooled Error Statistical Test.
Murie C; Nadon R
Bioinformatics; 2008 Aug; 24(15):1735-6. PubMed ID: 18450812
[TBL] [Abstract][Full Text] [Related]
19. Using ANOVA to analyze microarray data.
Churchill GA
Biotechniques; 2004 Aug; 37(2):173-5, 177. PubMed ID: 15335204
[TBL] [Abstract][Full Text] [Related]
20. Identifying periodically expressed transcripts in microarray time series data.
Wichert S; Fokianos K; Strimmer K
Bioinformatics; 2004 Jan; 20(1):5-20. PubMed ID: 14693803
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
