64 citations · 120 across the 29 of their papers we have counts for
3 papers · 1 filter
Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Yabo Niu, Nilabja Guha, Debkumar De +3
Gaussian graphical models (GGMs) are well-established tools for probabilistic exploration of dependence structures using precision matrices. We develop a Bayesian method to incorpo…
Integrative Bayesian models using Post-selective Inference: a case study in Radiogenomics
Snigdha Panigrahi, Shariq Mohammed, Arvind Rao +1
Integrative analyses based on statistically relevant associations between genomics and a wealth of intermediary phenotypes (such as imaging) provide vital insights into their clini…
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…