Na Yu

stGCL integrates multi-modal spatial transcriptomics data using graph contrastive learning to improve clustering and spatial pattern analysis.

stMMR identifies spatial domains from multi-modal spatial transcriptomics data using geometric deep learning, showing improved performance in domain identification and gene discovery across biological contexts.

CNLLRR improves scRNA-seq analysis by enhancing robustness to noise and capturing geometric relationships for better cell clustering and marker gene prioritization.