Statistical analysis of a gene expression microarray experiment with replication

Statistica Sinica

Volumn 12, Issue 1, 2002, Pages 203-217

  Kerr, M Kathleen ^a   Afshari, Cynthia A ^a   Bennett, Lee ^a   Bushel, Pierre ^a   Martinez, Jeanelle ^a   Walker, Nigel J ^a   Churchill, Gary A ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Analysis of variance; Bootstrap; cDNA microarray; Gene expression; Orthogonal design

Indexed keywords

EID: 0036012367     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Exploring the new world of the genome with DNA microarrays
2. Microarray expression profiling identifies genes with altered expression in HDL-deficient mice
3. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
4. Experimental design for gene expression microarrays
5. Statistical design and the analysis of gene expression microarray data
6. Analysis of variance for gene expression microarray data
7. Induction of cytochrome P-450 1A1 by omeprazole in human HepG2 cells is protein tyrosine kinase-dependent and is not inhibited by alpha-naphthoflavone
8. Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations
9. Regulation of cytochrome P450 enzymes by aryl hydrocarbon receptor in human cells: CYP1A2 expression in the LS180 colon carcinoma cell line after treatment with 2,3,7,8-tetrachlorodibenzo-p-dioxin or 3-methylcholanthrene
10. Assessing gene significance from cDNA microarray expression data via mixed models