Ziyuan He

This study investigates the molecular effects of RVd therapy on T cells using TEA-seq, revealing how individual and sequential drug administration impacts T cell function and states.

scVIP models single-cell transcriptomes to predict phenotypes and infer trajectories in development and disease.

The paper identifies diverse human antibody-secreting cell subsets using multi-omic methods and shows their distinct functional and spatial characteristics.

PULSAR is a foundation model that integrates multi-scale biological data to predict disease and clinical outcomes in the human immune system.

The paper identifies immune alterations preceding rheumatoid arthritis onset and provides tools for dataset exploration.

CyAnno improves cell type annotation in mass cytometry by incorporating unlabeled cells, enhancing prediction accuracy for gated cell types.