Fundamentals of experimental design for cDNA microarrays

被引:678
作者
Churchill, GA [1 ]
机构
[1] Jackson Lab, Bar Harbor, ME 04609 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1038/ng1031
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Microarray technology is now widely available and is being applied to address increasingly complex scientific questions. Consequently, there is a greater demand for statistical assessment of the conclusions drawn from microarray experiments. This review discusses fundamental issues of how to design an experiment to ensure that the resulting data are amenable to statistical analysis. The discussion focuses on two-color spotted cDNA microarrays, but many of the same issues apply to single-color gene-expression assays as well.
引用
收藏
页码:490 / 495
页数:6
相关论文
共 22 条
[1]   Genetic dissection of transcriptional regulation in budding yeast [J].
Brem, RB ;
Yvert, G ;
Clinton, R ;
Kruglyak, L .
SCIENCE, 2002, 296 (5568) :752-755
[2]   Microarray expression profiling identifies genes with altered expression in HDL-deficient mice [J].
Callow, MJ ;
Dudoit, S ;
Gong, EL ;
Speed, TP ;
Rubin, EM .
GENOME RESEARCH, 2000, 10 (12) :2022-2029
[3]   Sex, flies and microarrays [J].
Churchill, GA ;
Oliver, B .
NATURE GENETICS, 2001, 29 (04) :355-356
[4]  
COX DR, 1958, DESIGN EXPT
[5]  
Fisher R.A., 1951, DESIGN EXPT
[6]   The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster [J].
Jin, W ;
Riley, RM ;
Wolfinger, RD ;
White, KP ;
Passador-Gurgel, G ;
Gibson, G .
NATURE GENETICS, 2001, 29 (04) :389-395
[7]  
Kerr M K, 2001, Biostatistics, V2, P183, DOI 10.1093/biostatistics/2.2.183
[8]  
Kerr MK, 2002, STAT SINICA, V12, P203
[9]  
Kerr MK, 2001, GENET RES, V77, P123
[10]   Analysis of variance for gene expression microarray data [J].
Kerr, MK ;
Martin, M ;
Churchill, GA .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2000, 7 (06) :819-837