We are interested in developing statistical and computational methods to address scientific questions based on data from high throughput biology/genetics experiments. The ultimate goal is to enhance our understanding of cell activities and disease initiation/progression to a system level by integrating information from diverse biological sources (genetics/genomics, proteomics, and phenotypes).
Towards this goal, efforts have been made to properly model each individual type of data and to effciently characterize interactions among different biology molecules. These efforts all borrow strength from and contribute to the developments of high dimensional inference.
 |
 |
 |
 |