Models for microarray gene expression data

Journal of Biopharmaceutical Statistics

Volumn 12, Issue 1, 2002, Pages 1-19

  Lee, Mei Ling Ting ^a   Lu, Weining ^b   Whitmore, G A ^c   Beier, David ^b  

^a HARVARD MEDICAL SCHOOL   (United States)

^b BRIGHAM AND WOMEN S HOSPITAL   (United States)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ASSAY; DNA MICROARRAY; GENE EXPRESSION; GENE INTERACTION; INTERMETHOD COMPARISON; KIDNEY POLYCYSTIC DISEASE; MATHEMATICAL MODEL; MEASUREMENT; MEDICAL RESEARCH; PRIORITY JOURNAL; STATISTICS; ANIMAL; BIOLOGICAL MODEL; GENE EXPRESSION PROFILING; GENETICS; METHODOLOGY; MOUSE; MOUSE MUTANT; STATISTICAL MODEL;

ANIMAL; GENE EXPRESSION PROFILING; MICE; MICE, MUTANT STRAINS; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYCYSTIC KIDNEY DISEASES; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.; ANIMALS;

EID: 0035997115     PISSN: 10543406     EISSN: None     Source Type: Journal    
DOI: 10.1081/BIP-120005737     Document Type: Article

References (13)

1. Experimental design issues for gene expression microarrays
2. Analysis of variance for gene expression microarray data
3. Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations
4. Normalization strategies for cDNA microarrays
5. On Differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data
6. Assessing gene significance from cDNA microarray expression data via mixed models
7. Aberrant epithelial cell growth in autosomal dominant polycystic kidney disease