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.