Inferring gene regulatory networks by hypergraph variational autoencoder
Guangxin Su, Hanchen Wang, Ying Zhang, Adelle C.F. Coster, Marc Ronald Wilkins, Pablo F. Cañete, Di Yu, Yang Yang, Wenjie Zhang
This paper introduces HyperG-VAE, a Bayesian deep generative model for GRN inference using scRNA-seq data, showing effectiveness in clustering, visualization, and revealing gene regulation patterns.
bioRxiv · Apr 1, 2024 · PreprintBioinformatics