4 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer
Zeya Wang, Veera Baladandayuthapan, Ahmed O. Kaseb +4
Graphical models are commonly used to discover associations within gene or protein networks for complex diseases such as cancer. Most existing methods estimate a single graph for a…
NExUS: Bayesian simultaneous network estimation across unequal sample sizes
Priyam Das, Christine Peterson, Kim-Anh Do +2
Network-based analyses of high-throughput genomics data provide a holistic, systems-level understanding of various biological mechanisms for a common population. However, when esti…
Radiologic Image-based Statistical Shape Analysis of Brain Tumors
Karthik Bharath, Sebastian Kurtek, Arvind Rao +1
We propose a curve-based Riemannian-geometric approach for general shape-based statistical analyses of tumors obtained from radiologic images. A key component of the framework is a…