A discussion of statistical methods for design and analysis of microarray experiments for plant scientists.

There is much excitement among biologists and statisticians regarding new high-dimension data sets that have arisen from the application of microarray technology. In statistics, there has been a flurry of activity surrounding the development of new methods for the analysis of such data, and biologists are eager to extract as much information as possible from their substantial investments in microarray experiments. In this article, I offer statistical advice for plant biologists engaged in microarray research. My views are those of a statistician who has beenworking with scientists on the design and analysis of microarray experiments for the past 5 years. I will describe statistical concepts important for all researchers to understand and present data analysis strategies that I have found useful.