scGraph2Vec: a deep generative model for gene embedding augmented by graph neural network and single-cell omics data.
Journal:
GigaScience
PMID:
39704704
Abstract
BACKGROUND: Exploring the cellular processes of genes from the aspects of biological networks is of great interest to understanding the properties of complex diseases and biological systems. Biological networks, such as protein-protein interaction networks and gene regulatory networks, provide insights into the molecular basis of cellular processes and often form functional clusters in different tissue and disease contexts.