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    Article

    Dynamic and robust Bayesian graphical models

    Gaussian graphical models are widely popular for studying the conditional dependence among random variables. By encoding conditional dependence as an undirected graph, Gaussian graphical models provide interpr...

    Chunshan Liu, Daniel R. Kowal, Marina Vannucci in Statistics and Computing (2022)

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    Probing the Biophysical Properties of Primary Breast Tumor-Derived Fibroblasts

    As cancer progresses, cells must adapt to a new and stiffer environment, which can ultimately alter how normal cells within the tumor behave. In turn, these cells are known to further aid tumor progression. Th...

    Turi A. Alcoser, Francois Bordeleau in Cellular and Molecular Bioengineering (2015)