Xiaoying Wang

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer

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

SpaFlow depicts the dynamics of ligand-receptor interaction in spatial transcriptomics data

SpaFlow models ligand-receptor interactions in spatial transcriptomics data by simulating diffusion and binding processes, revealing spatially coherent signaling patterns in multiple disease contexts.

MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer

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