Yongheng Wang

This paper introduces Phenoverse, a deep learning framework that learns disease state representations from single-cell transcriptomic data, enabling disease prediction and severity assessment using binary labels.

Hydra is a deep generative framework for single-cell omics data that improves cell type annotation and feature selection, particularly for rare populations.

This paper develops a method for spatial lipidomics of undecalcified spines using mass spectrometry imaging, revealing lipidomic profiles at 10 micrometer resolution.

This study demonstrates that lipid nanoparticles can deliver mRNA for gene editing enzymes in utero, effectively editing multiple organs with low toxicity.