Lei Bai

This paper introduces PGI, a system that automates post-GWAS interpretation, achieving high recovery of findings and enabling cross-study biological evidence accumulation.

A set-aware latent transport model predicts treated cell populations from unpaired controls, keeps perturbation-specific signal in CRISPR, drug and cytokine data, and guided a cytokine choice tested in three donors.

scMOBA is a multi-omics brain agent that integrates single-cell and spatial data across species, achieving state-of-the-art cell type classification and improving downstream tasks like aging clock construction and disease prediction.

This paper introduces scMRDR, a framework for integrating unpaired single-cell and spatial multi-omics data, showing strong performance in batch correction and spatial mapping.

OriGene identifies therapeutic targets by integrating diverse data modalities and outperforms human experts and models in accuracy and robustness.