Biomarkers

Bayesian Hierarchical Quantile Regression with Application to Characterizing the Immune Architecture of Lung Cancer

The successful development and implementation of precision immuno-oncology therapies requires a deeper understanding of the immune architecture at a patient level. T-cell Receptor (TCR) repertoire sequencing is a relatively new technology that …

Bayesian Hierarchical Varying-sparsity Model with Application to Cancer Proteogenomics

A Bayesian hierarchical varying-sparsity regression (BEHAVIOR) model that selects clinically relevant disease markers by integrating proteogenomic and clinical data.