395 related articles for article (PubMed ID: 15702953)
1. 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]
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. 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]
4. 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]
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. Improved statistical tests for differential gene expression by shrinking variance components estimates.
Cui X; Hwang JT; Qiu J; Blades NJ; Churchill GA
Biostatistics; 2005 Jan; 6(1):59-75. PubMed ID: 15618528
[TBL] [Abstract][Full Text] [Related]
7. 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]
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. 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]
10. EVE (external variance estimation) increases statistical power for detecting differentially expressed genes.
Wille A; Gruissem W; Bühlmann P; Hennig L
Plant J; 2007 Nov; 52(3):561-9. PubMed ID: 17680783
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. A structural mixed model for variances in differential gene expression studies.
Jaffrézic F; Marot G; Degrelle S; Hue I; Foulley JL
Genet Res; 2007 Feb; 89(1):19-25. PubMed ID: 17517156
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Statistical analysis of microarray data: a Bayesian approach.
Gottardo R; Pannucci JA; Kuske CR; Brettin T
Biostatistics; 2003 Oct; 4(4):597-620. PubMed ID: 14557114
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Sample size calculation through the incorporation of heteroscedasticity and dependence for a penalized t-statistic in microarray experiments.
Hirakawa A; Hamada C; Yoshimura I
J Biopharm Stat; 2012; 22(2):260-75. PubMed ID: 22251173
[TBL] [Abstract][Full Text] [Related]
18. Integration of statistical inference methods and a novel control measure to improve sensitivity and specificity of data analysis in expression profiling studies.
Zang S; Guo R; Zhang L; Lu Y
J Biomed Inform; 2007 Oct; 40(5):552-60. PubMed ID: 17317331
[TBL] [Abstract][Full Text] [Related]
19. Variance component estimation for mixed model analysis of cDNA microarray data.
Sarholz B; Piepho HP
Biom J; 2008 Dec; 50(6):927-39. PubMed ID: 19035549
[TBL] [Abstract][Full Text] [Related]
20. Determination of the minimum number of microarray experiments for discovery of gene expression patterns.
Wu FX; Zhang WJ; Kusalik AJ
BMC Bioinformatics; 2006 Dec; 7 Suppl 4(Suppl 4):S13. PubMed ID: 17217505
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
