This course will provide an overview of statistical issues that arise in the design and analysis of microarray studies. The course will begin with a discussion of the various sources of variability inherent in microarray experiments, methods of evaluating data quality, and data normalization techniques. Focus will then shift to outlining the main types of scientific questions that investigators aim to answer from microarray experiments, accompanied by an in depth discussion of proper design and analysis strategies for addressing each of the specific types of questions. The second day will be a "hands-on" demonstration of BRB Array Tools. This microarray data analysis software package will be used to demonstrate and reinforce some of the concepts discussed in the first day. Students are welcome to bring their own data for in-class exercises.
Individuals who need reasonable accommodation to participate in CIT Training courses should let CIT Training know at least 5 days prior to the class.
For interpreting services, please request them from the ORS Interpreting Services by completing the form at
or calling (301) 402-8180 or TTY (301) 435-1908 at least 5 days before the start of the class.