CEMUSA: a graph-based integrative metric for evaluating clusters in spatial transcriptomics
The source code and data are freely available at https://github.com/YihDu/CEMUSA. CEMUSA is implemented as an R package at https://yihdu.github.io/CEMUSA.
Authors
- Jie Hu (ORCID: https://orcid.org/0000-0001-8282-4895)
- Jian Li (ORCID: https://orcid.org/0009-0003-7566-9120)
- Zhigang Wu (ORCID: https://orcid.org/0000-0002-6782-9249)
- Yihang Du
- Suyang Hou
- Yueyang Ding
- Xiaobo Sun
Institutions
- Emory University (US)
- Zhongnan University of Economics and Law (CN)
- Shenzhen University (CN)
- Southern University of Science and Technology (CN)
- ZheJiang Academy of Agricultural Sciences (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Shenzhen Technology University (CN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2026-02-04
- DOI
- https://doi.org/10.1093/bioinformatics/btag056
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Academy of Sciences