246 related articles for article (PubMed ID: 15335204)
1. Using ANOVA to analyze microarray data.
Churchill GA
Biotechniques; 2004 Aug; 37(2):173-5, 177. PubMed ID: 15335204
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Microarray data analysis: a hierarchical T-test to handle heteroscedasticity.
de Menezes RX; Boer JM; van Houwelingen HC
Appl Bioinformatics; 2004; 3(4):229-35. PubMed ID: 15702953
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays.
Chu T; Glymour C; Scheines R; Spirtes P
Bioinformatics; 2003 Jun; 19(9):1147-52. PubMed ID: 12801876
[TBL] [Abstract][Full Text] [Related]
7. Interactively optimizing signal-to-noise ratios in expression profiling: project-specific algorithm selection and detection p-value weighting in Affymetrix microarrays.
Seo J; Bakay M; Chen YW; Hilmer S; Shneiderman B; Hoffman EP
Bioinformatics; 2004 Nov; 20(16):2534-44. PubMed ID: 15117752
[TBL] [Abstract][Full Text] [Related]
8. 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]
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. 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]
11. 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]
12. 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]
13. Normality of oligonucleotide microarray data and implications for parametric statistical analyses.
Giles PJ; Kipling D
Bioinformatics; 2003 Nov; 19(17):2254-62. PubMed ID: 14630654
[TBL] [Abstract][Full Text] [Related]
14. Improved parameter estimation for variance-stabilizing transformation of gene-expression microarray data.
Inoue M; Nishimura S; Hori G; Nakahara H; Saito M; Yoshihara Y; Amari S
J Bioinform Comput Biol; 2004 Dec; 2(4):669-79. PubMed ID: 15617160
[TBL] [Abstract][Full Text] [Related]
15. Normalization of microarray data using a spatial mixed model analysis which includes splines.
Baird D; Johnstone P; Wilson T
Bioinformatics; 2004 Nov; 20(17):3196-205. PubMed ID: 15231532
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Discovering gene expression patterns in time course microarray experiments by ANOVA-SCA.
Nueda MJ; Conesa A; Westerhuis JA; Hoefsloot HC; Smilde AK; Talón M; Ferrer A
Bioinformatics; 2007 Jul; 23(14):1792-800. PubMed ID: 17519250
[TBL] [Abstract][Full Text] [Related]
18. Variance-stabilizing transformations for two-color microarrays.
Durbin BP; Rocke DM
Bioinformatics; 2004 Mar; 20(5):660-7. PubMed ID: 15033873
[TBL] [Abstract][Full Text] [Related]
19. AnovArray: a set of SAS macros for the analysis of variance of gene expression data.
Hennequet-Antier C; Chiapello H; Piot K; Degrelle S; Hue I; Renard JP; Rodolphe F; Robin S
BMC Bioinformatics; 2005 Jun; 6():150. PubMed ID: 15960854
[TBL] [Abstract][Full Text] [Related]
20. Variance stabilization applied to microarray data calibration and to the quantification of differential expression.
Huber W; von Heydebreck A; Sültmann H; Poustka A; Vingron M
Bioinformatics; 2002; 18 Suppl 1():S96-104. PubMed ID: 12169536
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
