Lijian Hui

This study introduces Stereo-meta-seq to integrate spatial metabolomics and transcriptomics in human kidney development, revealing DHA's role in proximal tubule maturation.

SPCoral integrates spatial multi-omics data across different modalities and technologies, improving spatial domain identification and cross-modal analysis.

This study introduces a method to predict clinical phenotypes from single-cell data using attention-based multiple instance learning, demonstrating its effectiveness in predicting disease severity and age-related phenotypes.

DComboNet prioritizes effective anti-cancer drug combinations using a two-level network model, achieving high AUC performance and inferring potential combination mechanisms.