BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies.
IF: 17.906
Cited by: 10


Spatial transcriptomic studies are reaching single-cell spatial resolution, with data often collected from multiple tissue sections. Here, we present a computational method, BASS, that enables multi-scale and multi-sample analysis for single-cell resolution spatial transcriptomics. BASS performs cell type clustering at the single-cell scale and spatial domain detection at the tissue regional scale, with the two tasks carried out simultaneously within a Bayesian hierarchical modeling framework. We illustrate the benefits of BASS through comprehensive simulations and applications to three datasets. The substantial power gain brought by BASS allows us to reveal accurate transcriptomic and cellular landscape in both cortex and hypothalamus.


Spatial Transcriptomics
Bayesian hierarchical model
Cell type
Clustering analysis
Multi-sample analysis
Multi-scale analysis
Spatial domain
Spatial transcriptomics
Tissue section

MeSH terms

Bayes Theorem
Cluster Analysis


Li, Zheng
Zhou, Xiang