Tiangang Wang

Spatium is a foundation model for spatial proteomics that learns stable cell representations from constrained protein measurements, enabling accurate cell identity recovery and spatial microenvironment analysis.

This study benchmarks 29 RNA velocity algorithms across simulated and real scRNA-seq datasets, highlighting performance variations and practical constraints.