Gene Regulatory Network

Joint Bayesian Estimation of Cell Dependence and Gene Associations in Spatially Resolved Transcriptomic Data

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 …

Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks

Individualized causal discovery.

Model-Based Causal Discovery for Zero-Inflated Count Data

Zero-inflated generalized hypergeometric Bayesian networks.

Individualized Inference in Bayesian Quantile Directed Acyclic Graphical Models

Graphical Dirichlet process.

Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks

Zero-inflated Poisson Bayesian networks.

Bayesian Graphical Regression

A new directed acyclic graphical model that produces subject-specific and predictive graphs with theoretical guarantee.

Bayesian Nonlinear Model Selection for Gene Regulatory Networks

A Bayesian directed acyclic graphical model to recover the structure of nonlinear gene regulatory networks.