Cancer

Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks
In this paper, we propose an approach termed robust Bayesian graphical regression (rBGR) to estimate graphs that vary on subject-specific information for non-normally distributed data.
Tsung-Hung Yao, Yang Ni, Anindya Bhadra, Jian Kang, Veerabhadran Baladandayuthapan
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Robust Bayesian Graphical Regression Models for Assessing Tumor Heterogeneity in Proteomic Networks