Beyond Significance: Integrating Diverse Data Types to Extract Biological Meaning from Microarrays

Tuesday, September 30, 2003 - 1:30pm - 2:20pm
Keller 3-180
John Quackenbush (The Institute for Genomic Research)
Microarray expression analysis has rapidly become a mainstay in functional genomics laboratories. With the rapid expansion of this field has come equally rapid advances in statistical analysis methodologies that have revolutionized the way we design experiments and analyze data. However, even the best designed, conducted, and analyzed experiments yield, at best, statistically significant lists of genes. The scientific challenge we now face it placing these genes into a broader biological context through the use of diverse ancillary information. I will present an overview of the problem with some examples of how we have integrated diverse data types to add biological meaning to expression measures.