Adelle CF Coster

Apr 2, 2024 | biorxiv.org | Marc Wilkins |Pablo F. Cañete |Di Yu |Adelle CF Coster

AbstractIn constructing Gene Regulatory Networks (GRNs), it is crucial to consider cellular heterogeneity and differential gene regulatory modules. However, traditional methods have predominantly focused on cellular heterogeneity, approaching the subject from a relatively narrow scope. We present HyperG-VAE, a Bayesian deep generative model that utilizes a hypergraph to model single-cell RNA sequencing (scRNA-seq) data.