Maoteng Duan

This paper introduces EmitGCL, a deep-learning framework that predicts future metastasis in cancer with high accuracy, identifies biomarkers, and validates therapeutic targets.

SLECA creates a single-cell atlas of SLE to identify rare cell types, finding expanded double-negative T cells linked to disease severity and showing potential for therapeutic reprogramming.

MarsGT identifies rare cell populations in multi-omics single-cell data, outperforming existing tools and revealing novel biological insights in human and mouse datasets.