Statistical design and the analysis of gene expression microarray data

Citation
Mk. Kerr et Ga. Churchill, Statistical design and the analysis of gene expression microarray data, GENET RES, 77(2), 2001, pp. 123-128
Citations number
18
Language
INGLESE
art.tipo
Review
Categorie Soggetti
Molecular Biology & Genetics
Journal title
GENETICAL RESEARCH
ISSN journal
0016-6723 → ACNP
Volume
77
Issue
2
Year of publication
2001
Pages
123 - 128
Database
ISI
SICI code
0016-6723(200104)77:2<123:SDATAO>2.0.ZU;2-5
Abstract
Gene expression microarrays are an innovative technology with enormous prom ise to help geneticists explore and understand the genome. Although the pot ential of this technology has been clearly demonstrated, many important and interesting statistical questions persist. We relate certain features of m icroarrays to other kinds of experimental data and argue that classical sta tistical techniques are appropriate and useful. We advocate greater attenti on to experimental design issues and a more prominent role for the ideas of statistical inference in microarray studies.