scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses
Wang et al. Nature Communications (2021)
Neural relational inference to learn long-range allosteric interactions in proteins from molecular dynamics simulations
Zhu et al. Nature Communications (2022)
Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks
Wang et al. Computational and Structural Biotechnology Journal (2020)
G2S: a web-service for annotating genomic variants on 3D protein structures
Wang et al. Bioinformatics (2018)
For a full list, please go to Google Scholar or Pubmed.
