553 related articles for article (PubMed ID: 15099405)
1. Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.
Barrera L; Benner C; Tao YC; Winzeler E; Zhou Y
BMC Bioinformatics; 2004 Apr; 5():42. PubMed ID: 15099405
[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. Probe rank approaches for gene selection in oligonucleotide arrays with a small number of replicates.
Chen DT; Chen JJ; Soong SJ
Bioinformatics; 2005 Jun; 21(12):2861-6. PubMed ID: 15814562
[TBL] [Abstract][Full Text] [Related]
4. Robustified MANOVA with applications in detecting differentially expressed genes from oligonucleotide arrays.
Xu J; Cui X
Bioinformatics; 2008 Apr; 24(8):1056-62. PubMed ID: 18316342
[TBL] [Abstract][Full Text] [Related]
5. An enhanced quantile approach for assessing differential gene expressions.
Wang H; He X
Biometrics; 2008 Jun; 64(2):449-57. PubMed ID: 18325069
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Unequal group variances in microarray data analyses.
Demissie M; Mascialino B; Calza S; Pawitan Y
Bioinformatics; 2008 May; 24(9):1168-74. PubMed ID: 18344518
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays.
Wang Y; Barbacioru C; Hyland F; Xiao W; Hunkapiller KL; Blake J; Chan F; Gonzalez C; Zhang L; Samaha RR
BMC Genomics; 2006 Mar; 7():59. PubMed ID: 16551369
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. 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]
18. Understanding sample size: what determines the required number of microarrays for an experiment?
Jørstad TS; Langaas M; Bones AM
Trends Plant Sci; 2007 Feb; 12(2):46-50. PubMed ID: 17229587
[TBL] [Abstract][Full Text] [Related]
19. Assessing differential gene expression with small sample sizes in oligonucleotide arrays using a mean-variance model.
Hu J; Wright FA
Biometrics; 2007 Mar; 63(1):41-9. PubMed ID: 17447928
[TBL] [Abstract][Full Text] [Related]
20. Design and evaluation of Actichip, a thematic microarray for the study of the actin cytoskeleton.
Muller J; Mehlen A; Vetter G; Yatskou M; Muller A; Chalmel F; Poch O; Friederich E; Vallar L
BMC Genomics; 2007 Aug; 8():294. PubMed ID: 17727702
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
