333 related articles for article (PubMed ID: 15130790)
1. Profound normalisation challenges remain in the analysis of data from microarray experiments.
Lyons-Weiler J
Appl Bioinformatics; 2003; 2(4):193-5. PubMed ID: 15130790
[No Abstract] [Full Text] [Related]
2. Overcoming confounded controls in the analysis of gene expression data from microarray experiments.
Bhattacharya S; Long D; Lyons-Weiler J
Appl Bioinformatics; 2003; 2(4):197-208. PubMed ID: 15130791
[TBL] [Abstract][Full Text] [Related]
3. Clinically validated benchmarking of normalisation techniques for two-colour oligonucleotide spotted microarray slides.
Listgarten J; Graham K; Damaraju S; Cass C; Mackey J; Zanke B
Appl Bioinformatics; 2003; 2(4):219-28. PubMed ID: 15130793
[TBL] [Abstract][Full Text] [Related]
4. Some statistical issues in microarray gene expression data.
Mayo MS; Gajewski BJ; Morris JS
Radiat Res; 2006 Jun; 165(6):745-8. PubMed ID: 16802876
[TBL] [Abstract][Full Text] [Related]
5. Maintaining data integrity in microarray data management.
Grant GR; Manduchi E; Pizarro A; Stoeckert CJ
Biotechnol Bioeng; 2003 Dec; 84(7):795-800. PubMed ID: 14708120
[TBL] [Abstract][Full Text] [Related]
6. A new outlier removal approach for cDNA microarray normalization.
Wu Y; Yan L; Liu H; Sun H; Xie H
Biotechniques; 2009 Aug; 47(2):691-2, 694-700. PubMed ID: 19737130
[TBL] [Abstract][Full Text] [Related]
7. MicroPreP: a cDNA microarray data pre-processing framework.
van Hijum SA; García de la Nava J; Trelles O; Kok J; Kuipers OP
Appl Bioinformatics; 2003; 2(4):241-4. PubMed ID: 15130795
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Comment on 'Evaluation of the gene-specific dye bias in cDNA microarray experiments'.
Dobbin KK; Shih JH; Simon RM
Bioinformatics; 2005 Jun; 21(12):2803-4. PubMed ID: 15817695
[No Abstract] [Full Text] [Related]
10. 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]
11. Application of z-score transformation to Affymetrix data.
Cheadle C; Cho-Chung YS; Becker KG; Vawter MP
Appl Bioinformatics; 2003; 2(4):209-17. PubMed ID: 15130792
[TBL] [Abstract][Full Text] [Related]
12. Identification and handling of artifactual gene expression profiles emerging in microarray hybridization experiments.
Brodsky L; Leontovich A; Shtutman M; Feinstein E
Nucleic Acids Res; 2004 Mar; 32(4):e46. PubMed ID: 14999086
[TBL] [Abstract][Full Text] [Related]
13. The statistical distribution of the intensity of pixels within spots of DNA microarrays: what is the appropriate single-value representative?
Nuñez-Garcia J; Mersinias V; Cho KH; Smith CP; Wolkenhauer O
Appl Bioinformatics; 2003; 2(4):229-39. PubMed ID: 15130794
[TBL] [Abstract][Full Text] [Related]
14. There is no silver bullet--a guide to low-level data transforms and normalisation methods for microarray data.
Kreil DP; Russell RR
Brief Bioinform; 2005 Mar; 6(1):86-97. PubMed ID: 15826359
[TBL] [Abstract][Full Text] [Related]
15. Statistical analysis of global gene expression data: some practical considerations.
Holzman T; Kolker E
Curr Opin Biotechnol; 2004 Feb; 15(1):52-7. PubMed ID: 15102467
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Analysis with respect to instrumental variables for the exploration of microarray data structures.
Baty F; Facompré M; Wiegand J; Schwager J; Brutsche MH
BMC Bioinformatics; 2006 Sep; 7():422. PubMed ID: 17010189
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. ALEXA: a microarray design platform for alternative expression analysis.
Griffith M; Tang MJ; Griffith OL; Morin RD; Chan SY; Asano JK; Zeng T; Flibotte S; Ally A; Baross A; Hirst M; Jones SJ; Morin GB; Tai IT; Marra MA
Nat Methods; 2008 Feb; 5(2):118. PubMed ID: 18235430
[No Abstract] [Full Text] [Related]
20. Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essential.
Shi L; Perkins RG; Fang H; Tong W
Curr Opin Biotechnol; 2008 Feb; 19(1):10-8. PubMed ID: 18155896
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
