Youzhe He

OmniCell integrates single-cell and spatial transcriptomics to model tissue context, revealing how gene programs operate in different anatomical environments.

The paper introduces Cellfm-datasets, a data infrastructure for efficient pretraining of cell foundation models using single-cell and spatial transcriptomics data.

This study combines spatial transcriptomics and snRNA-seq to map cell type organization and functional modules in the mouse amygdala, revealing developmental origins and spatial patterns.

This study creates a single-cell spatial transcriptomic atlas of the human cortex, revealing gene expression patterns, aging effects, and disease associations across layers and species.

This study uses single-cell spatial transcriptomics to identify molecular and cellular changes in hippocampal sclerosis associated with MTLE, revealing vulnerable subregions and novel pathological features.