273 related articles for article (PubMed ID: 12801864)
1. Modified nonparametric approaches to detecting differentially expressed genes in replicated microarray experiments.
Zhao Y; Pan W
Bioinformatics; 2003 Jun; 19(9):1046-54. PubMed ID: 12801864
[TBL] [Abstract][Full Text] [Related]
2. On the use of permutation in and the performance of a class of nonparametric methods to detect differential gene expression.
Pan W
Bioinformatics; 2003 Jul; 19(11):1333-40. PubMed ID: 12874044
[TBL] [Abstract][Full Text] [Related]
3. A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments.
Pan W
Bioinformatics; 2002 Apr; 18(4):546-54. PubMed ID: 12016052
[TBL] [Abstract][Full Text] [Related]
4. The t-mixture model approach for detecting differentially expressed genes in microarrays.
Jiao S; Zhang S
Funct Integr Genomics; 2008 Aug; 8(3):181-6. PubMed ID: 18210172
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Using weighted permutation scores to detect differential gene expression with microarray data.
Guo X; Pan W
J Bioinform Comput Biol; 2005 Aug; 3(4):989-1006. PubMed ID: 16078371
[TBL] [Abstract][Full Text] [Related]
7. Construction of null statistics in permutation-based multiple testing for multi-factorial microarray experiments.
Gao X
Bioinformatics; 2006 Jun; 22(12):1486-94. PubMed ID: 16574697
[TBL] [Abstract][Full Text] [Related]
8. A spline function approach for detecting differentially expressed genes in microarray data analysis.
He W
Bioinformatics; 2004 Nov; 20(17):2954-63. PubMed ID: 15180936
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. An improved nonparametric approach for detecting differentially expressed genes with replicated microarray data.
Zhang S
Stat Appl Genet Mol Biol; 2006; 5():Article30. PubMed ID: 17402914
[TBL] [Abstract][Full Text] [Related]
11. Nonparametric methods for identifying differentially expressed genes in microarray data.
Troyanskaya OG; Garber ME; Brown PO; Botstein D; Altman RB
Bioinformatics; 2002 Nov; 18(11):1454-61. PubMed ID: 12424116
[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. 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]
14. 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]
15. Identifying differentially expressed genes from microarray experiments via statistic synthesis.
Yang YH; Xiao Y; Segal MR
Bioinformatics; 2005 Apr; 21(7):1084-93. PubMed ID: 15513985
[TBL] [Abstract][Full Text] [Related]
16. Bayesian mixture model based clustering of replicated microarray data.
Medvedovic M; Yeung KY; Bumgarner RE
Bioinformatics; 2004 May; 20(8):1222-32. PubMed ID: 14871871
[TBL] [Abstract][Full Text] [Related]
17. A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data.
Najarian K; Zaheri M; Rad AA; Najarian S; Dargahi J
BMC Bioinformatics; 2004 Dec; 5():201. PubMed ID: 15603585
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. An efficient and robust statistical modeling approach to discover differentially expressed genes using genomic expression profiles.
Thomas JG; Olson JM; Tapscott SJ; Zhao LP
Genome Res; 2001 Jul; 11(7):1227-36. PubMed ID: 11435405
[TBL] [Abstract][Full Text] [Related]
20. An empirical bayes adjustment to increase the sensitivity of detecting differentially expressed genes in microarray experiments.
Datta S; Satten GA; Benos DJ; Xia J; Heslin MJ; Datta S
Bioinformatics; 2004 Jan; 20(2):235-42. PubMed ID: 14734315
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
