Single-Cell RNA-Seq

Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data

Graphical Dirichlet process.

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 …

Model-Based Causal Discovery for Zero-Inflated Count Data

Zero-inflated generalized hypergeometric Bayesian networks.

A Unified Bayesian Framework for Bi-Overlapping-Clustering Multi-Omics Data via Sparse Matrix Factorization

Bayesian integrative matrix factorization.

Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks

Zero-inflated Poisson Bayesian networks.

Heterogeneity of Human Prostate Carcinoma-Associated Fibroblasts Implicates a Role for Subpopulations in Myeloid Cell Recruitment

Carcinoma–associated fibroblasts (CAF) are a heterogeneous group of cells within the tumor microenvironment (TME) that can promote tumorigenesis in the prostate. By understanding the mechanism(s) by which CAF contributes to tumor growth, new …