Zhuoyan Li

Pan-human Azimuth maps diverse human cells into a unified hierarchical typology, enabling cross-tissue comparisons and spatial transcriptomic annotation.

This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.

PanSci, a single-cell transcriptome atlas of over 20 million cells throughout the mouse lifespan, unveils the temporal architecture of aging-associated cellular population dynamics, organ-specific immune cell shifts, and the lymphocytes role in organismal aging.

SEraster reduces computational resource needs for spatial omics analysis by aggregating cell data into spatial pixels, enabling efficient analysis of large datasets.