title: Statistical design and the analysis of gene expression microarray data.
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.
authors.affiliation: Jackson Laboratory, 600 Main Street, Box 303, Bar Harbor, ME 04609, USA. mkk@jax.org
authors.forename: M K
authors.initials: MK
authors.lastname: Kerr
authors.forename: G A
authors.initials: GA
authors.lastname: Churchill
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D018076:DNA, Complementary / Q000378:metabolism; D016678:Genome; D006801:Humans; D051379:Mice; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012107:Research Design; D013997:Time Factors
chemical_list: D018076:DNA, Complementary