Hongpan Zhang

BART-spatial identifies transcriptional regulators from spatial omics data by integrating spatial and pseudotemporal information with TR binding profiles, outperforming existing methods.

GeneKnow synthesizes biological evidence from literature with auditability, achieving higher claim support and citation fidelity than existing AI systems.

BARTsc identifies key transcriptional regulators from single-cell omics data by integrating ChIP-seq profiles and outperforms existing methods in multiple biological systems.

This study uses single-cell multi-omics to show that diabetic mice show persistent aortic smooth muscle cell dysfunction and phenotypic changes despite glycemic control, with partial reversal by dapagliflozin.

This study shows that methanogenic archaea enhance intestinal epithelial regeneration, mucus production, and regulatory T cell accumulation, protecting against colitis.

The paper introduces TRIPOD, a nonparametric method to detect TF-target gene-accessibility relationships in multiomic data, validated across multiple datasets.