Ontology highlight
ABSTRACT:
SUBMITTER: Ni Y
PROVIDER: S-EPMC6552682 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Journal of the American Statistical Association 20180815 525
Identifying patient-specific prognostic biomarkers is of critical importance in developing personalized treatment for clinically and molecularly heterogeneous diseases such as cancer. In this article, we propose a novel regression framework, <i>Bayesian hierarchical varying-sparsity regression</i> (BEHAVIOR) models to select clinically relevant disease markers by integrating proteogenomic (proteomic+genomic) and clinical data. Our methods allow flexible modeling of protein-gene relationships as ...[more]