206 related articles for article (PubMed ID: 19664562)
1. A weighted sample size for microarray datasets that considers the variability of variance and multiplicity.
Kim KY; Chung HC; Rha SY
J Biosci Bioeng; 2009 Sep; 108(3):252-8. PubMed ID: 19664562
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Sample size calculations based on ranking and selection in microarray experiments.
Matsui S; Zeng S; Yamanaka T; Shaughnessy J
Biometrics; 2008 Mar; 64(1):217-26. PubMed ID: 17680829
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms.
Zhou X; Mao KZ
Bioinformatics; 2006 Oct; 22(20):2507-15. PubMed ID: 16908500
[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. 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]
8. 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]
9. Sample size calculation for multiple testing in microarray data analysis.
Jung SH; Bang H; Young S
Biostatistics; 2005 Jan; 6(1):157-69. PubMed ID: 15618534
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Robust imputation method for missing values in microarray data.
Yoon D; Lee EK; Park T
BMC Bioinformatics; 2007 May; 8 Suppl 2(Suppl 2):S6. PubMed ID: 17493255
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. Genetic test bed for feature selection.
Choudhary A; Brun M; Hua J; Lowey J; Suh E; Dougherty ER
Bioinformatics; 2006 Apr; 22(7):837-42. PubMed ID: 16428263
[TBL] [Abstract][Full Text] [Related]
16. Selection and validation of normalization methods for c-DNA microarrays using within-array replications.
Fan J; Niu Y
Bioinformatics; 2007 Sep; 23(18):2391-8. PubMed ID: 17660210
[TBL] [Abstract][Full Text] [Related]
17. Analysis of a Gibbs sampler method for model-based clustering of gene expression data.
Joshi A; Van de Peer Y; Michoel T
Bioinformatics; 2008 Jan; 24(2):176-83. PubMed ID: 18033794
[TBL] [Abstract][Full Text] [Related]
18. Differential gene expression detection and sample classification using penalized linear regression models.
Wu B
Bioinformatics; 2006 Feb; 22(4):472-6. PubMed ID: 16352654
[TBL] [Abstract][Full Text] [Related]
19. Estimating effect sizes of differentially expressed genes for power and sample-size assessments in microarray experiments.
Matsui S; Noma H
Biometrics; 2011 Dec; 67(4):1225-35. PubMed ID: 21627629
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
