Integrative genomic models for analysis of pharmacogenomic studies. Funded by the National Cancer Institute. (R21 CA 140879) (completed)
The goal of this research was to combine various sources of phenotypic and genomic data collected into pharmacogenomic models using bayesian methods. To accomplish this, our lab combined the ideas of path analysis and bayesian hierarchical model with stochastic search variable selection.