Biostatistics Weekly Seminar

Modeling cancer prognosis is a “classic” yet still challenging problem. In the past two decades, high-throughput molecular data have been extensively used in such analysis. Very recently, it has been shown that histopathological imaging features, which are generated in the biopsy process, are also informative for modeling prognosis (and other outcomes/phenotypes). Molecular and imaging data contain overlapping as well as independent information. In our recent studies, we have developed regularization techniques, testing the degree of independent information for prognosis and integrating the two distinct types of data for prognosis modeling under homogeneity as well as heterogeneity.

Virtual: Zoom Link to Follow
06 September 2023
1:30pm