🧬 biology
Benchmarking cell type annotation in spatial transcriptomics: resolving cellular hierarchies, biological fidelity, and dynamic cell states
This study presents a comprehensive benchmark of 20 state-of-the-art cell type annotation methods across diverse spatial transcriptomics technologies and biological contexts, revealing that while tools like scANVI, Seurat, and TACCO perform well overall, accurate fine-grained and dynamic state annotation remains challenging and highly context-dependent, highlighting the need for future methods to better handle open-set recognition, spatial integration, and rare cell populations.
Xin Maizie Zhou, Yuling Zhu, Yunfei Hu, Manfei Xie, Haoran Qin, Zuzanna Szul, Derek Young, Weiman Yuan, Qimeng Wang, Yic (…)2026-08-28