Statistical design and the analysis of gene expression microarray data.
Document Type
Article
Publication Date
2001
Keywords
Animal, DNA-Complementary, Genome, Human, Mice, Models-Statistical, Oligonucleotide-Array-Sequence-Analysis, Research-Design, SUPPORT-NON-U-S-GOVT, SUPPORT-U-S-GOVT-P-H-S, Time-Factors
First Page
123
Last Page
128
JAX Source
Genet Res 2001 Apr; 77(2):123-8.
Grant
CA88327/CA/NCI
Abstract
Gene expression microarrays are an innovative technology with enormous promise to help geneticists explore and understand the genome. Although the potential of this technology has been clearly demonstrated, many important and interesting statistical questions persist. We relate certain features of microarrays to other kinds of experimental data and argue that classical statistical techniques are appropriate and useful. We advocate greater attention to experimental design issues and a more prominent role for the ideas of statistical inference in microarray studies.
Recommended Citation
Kerr MK,
Churchill GA.
Statistical design and the analysis of gene expression microarray data. Genet Res 2001 Apr; 77(2):123-8.