This project will develop statistical approaches leveraging latent structures or mediating relationships for the integration of multiple omics data to better understand gene-to-phenotype relationships. The methods will be applicable to either individual-level data or summary statistics, and they will have a direct impact on applied investigations by facilitating a better understanding of potential mechanisms driving underlying cancer etiology.


David Conti, PhD

Professor of Population and Public Health Sciences