A Joint Graphical Model for Inferring Gene Networks Across Multiple Subpopulations and Data Types Abstract: Reconstructing gene networks from gene expression data is a long-standing challenge. In most ...

This method accesses the stability of the model by generating several Gaussian graphical models based on re-sampled versions of the original dataset. The resulting models are then aggregated to obtain ...

Abstract: This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to represent ...

Jian Guo, Elizaveta Levina, George Michailidis, Ji Zhu, Graphical Models for Ordinal Data, Journal of Computational and Graphical Statistics, Vol. 24, No. 1 (MARCH 2015), pp. 183-204. Link account to ...

This graphical abstract illustrates how a machine-learning approach integrating personal genomes and electronic health records can predict clinical outcomes associated with abdominal aortic ...