Single-Cell Classification Using Graph Convolutional Networks
Tianyu Wang, Jun Bai, Sheida Nabavi
This study introduces a deep learning model called sigGCN that combines graph convolutional networks with gene expression data to improve cell type classification accuracy.
BMC Bioinformatics · Jul 8, 2021Peer-reviewedBioinformatics