Shenghao Cao

This study introduces DGP-AMIO, a graph attention network-based method that integrates multi-omics and gene interaction data to identify novel disease genes, achieving high performance across 20 disease datasets.

stFormer is a transformer model for spatial transcriptomics data that improves performance on cell clustering and gene function prediction compared to existing models.