Statistics Seminar: Spatially Varying Gene Regulatory Networks via Bayesian Nonparametric Covariate-Dependent Directed Cyclic Graphical Models
Presenter: Trisha Dawn, UC Santa Cruz Description: Spatial transcriptomics technologies enable measurement of gene expression with spatial context, providing opportunities to understand how gene regulatory networks (GRNs) vary across tissue regions. Studying spatial variation in GRNs is crucial for uncovering mechanisms governing heterogeneous cellular functions and gives rise to a challenging statistical problem: graph learning […]