Over the course of several years, John Storey's lab has carried out an analysis of a large-scale study on 168 blunt-force trauma patients over 28 days, measuring ~400 clinical variables and longitudinal gene expression with ~800 microarrays. The aim of this study is to improve the ability to diagnose and treat inflammatory complications in critically injured patients.
In this talk, Dr. Storey will describe the challenges they have faced in analyzing this data, and some of the methodological developments they have made in addressing these challenges. He will specifically discuss methods for dealing with latent structure in gene expression data and approaches for modeling the data in such a way that confounding sources of variation are eliminated. The advances they have made from this study will likely be applicable to future large-scale clinical genomics studies, and they have directly motivated more general developments they have made in large-scale inference methods.