131 citations · 231 across the 7 of their papers we have counts for
7 papers
Inference of multiple high-dimensional networks with the Graphical Horseshoe prior
Claudio Busatto, Francesco Claudio Stingo
We develop a novel full-Bayesian approach for multiple correlated precision matrices, called multiple Graphical Horseshoe (mGHS). The proposed approach relies on a novel multivaria…
Personalized Treatment Selection via Product Partition Models with Covariates
Matteo Pedone, Raffaele Argiento, Francesco C. Stingo
Precision medicine is an approach for disease treatment that defines treatment strategies based on the individual characteristics of the patients. Motivated by an open problem in c…
Bayesian Structure Learning in Multi-layered Genomic Networks
Min Jin Ha, Francesco Stingo, Veerabhadran Baladandayuthapani
Integrative network modeling of data arising from multiple genomic platforms provides insight into the holistic picture of the interactive system, as well as the flow of informatio…
Bayesian Inference of Networks Across Multiple Sample Groups and Data Types
Elin Shaddox, Christine B. Peterson, Francesco C. Stingo +5
In this paper, we develop a graphical modeling framework for the inference of networks across multiple sample groups and data types. In medical studies, this setting arises wheneve…
Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer's Disease
Christine B. Peterson, Nathan Osborne, Francesco C. Stingo +3
Alzheimer's disease is the most common neurodegenerative disease. The aim of this study is to infer structural changes in brain connectivity resulting from disease progression usin…
Incorporating biological information into linear models: A Bayesian approach to the selection of pathways and genes
Francesco C. Stingo, Yian A. Chen, Mahlet G. Tadesse +1
The vast amount of biological knowledge accumulated over the years has allowed researchers to identify various biochemical interactions and define different families of pathways. T…