Benchmarking algorithms for spatially variable gene identification in spatial transcriptomics
The source code of this benchmarking framework is available at both Github (https://github.com/XiDsLab/svg-benchmark) and Zenodo (https://doi.org/10.5281/zenodo.15031083). In addition, all real and synthetic datasets considered in this study are also publicly available at Zenodo (https://doi.org/10.5281/zenodo.7227771).
Authors
- Qinghua Ran (ORCID: https://orcid.org/0000-0002-7513-4295)
- Xingjie Shi (ORCID: https://orcid.org/0000-0002-9866-8599)
- Ruibin Xi (ORCID: https://orcid.org/0000-0001-7545-7361)
- Zihao Chen (ORCID: https://orcid.org/0000-0002-1382-0409)
- Junjie Tang (ORCID: https://orcid.org/0000-0003-3185-9929)
- Siyuan Huang (ORCID: https://orcid.org/0000-0002-9819-3685)
- Xuanwei Chen
Institutions
- Peking University (CN)
- Center for Interdisciplinary Studies (IN)
- East China Normal University (CN)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-03-26
- DOI
- https://doi.org/10.1093/bioinformatics/btaf131
- Citations
- 10
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 7.25
Funders
- National Natural Science Foundation of China
- Peking University