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.

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