B1592
Title: A Bayesian group selection with compositional responses for analysis of tumor proportions and their genomic determinants
Authors: Thierry Chekouo - University of Minnesota (United States) [presenting]
Abstract: Volumetric imaging features are used in cancer research to determine the size and the composition of a tumor, and have been shown to be prognostic of overall survival. We focus on the analysis of tumor component proportions of brain cancer patients collected through The Cancer Genome Atlas (TCGA) project. The main goal is to identify pathways and corresponding genes that can explain the heterogeneity of the composition of a brain tumor. In particular, we focus on the glioblastoma multiform (GBM), as it is the most common malignant brain neoplasm.
