چکیده :
We examine experimental design issues arising with gene expression microarray technology. Microarray
experiments have multiple sources of variation, and experimental plans should ensure that effects
of interest are not confounded with ancillary effects. A commonly used design is shown to violate this
principle and to be generally inefficient. We explore the connection between microarray designs and
classical block design and use a family of ANOVA models as a guide to choosing a design. We combine
principles of good design and A-optimality to give a general set of recommendations for design with
microarrays. These recommendations are illustrated in detail for one kind of experimental objective, where
we also give the results of a computer search for good designs
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