Graphical Dirichlet process.
Recent technologies such as spatial transcriptomics, enable the measurement of gene expressions at the single-cell level along with the spatial locations of these cells in the tissue. Spatial clustering of the cells provides valuable insights into …
A new Gaussian graphical model that produces subject-specific and predictive graphs with theoretical guarantee.
Individualized causal discovery.
Graphical Dirichlet process.
A new Gaussian graphical model that produces subject-specific and predictive graphs with theoretical guarantee.
The successful development and implementation of precision immuno-oncology therapies requires a deeper understanding of the immune architecture at a patient level. T-cell Receptor (TCR) repertoire sequencing is a relatively new technology that …
Discover causality from heterogeneous continuous observational data with directed cyclic graphs.
A Bayesian hierarchical varying-sparsity regression (BEHAVIOR) model that selects clinically relevant disease markers by integrating proteogenomic and clinical data.
A new directed acyclic graphical model that produces subject-specific and predictive graphs with theoretical guarantee.