The RG lab develops computational tools and statistical methods for the analysis of high throughput biological assays with application to health research. In particular, we have been working on the following problems:
Statistical methods for flow cytometry: Subpopulation identification (gating), classification, and more
DNA-protein interactions and histone positioning: analysis of ChIP-chip and ChIP-Seq
Robust estimation/testing for differential gene expression
Bayesian inference and stochastic computation: Model selection, Variable selection
Mixture modeling and clustering
The RG lab is located at the Clinical Research Institute of Montreal (IRCM) and the university of British Columbia.
