Multi-task benchmarking of spatially resolved gene expression simulation models
Our findings reveal that model estimation can be influenced by distribution assumptions and dataset characteristics. In summary, our evaluation framework provides guidelines for selecting appropriate methods for specific scenarios and informs future method development.
Authors
- Xiaoqi Liang (ORCID: https://orcid.org/0009-0004-9625-1441)
- Jean Yang (ORCID: https://orcid.org/0000-0002-5271-2603)
- Marni Torkel
- Yue Cao (ORCID: https://orcid.org/0000-0002-2356-4031)
Institutions
- The University of Sydney (AU)
Publication Details
- Journal
- Genome biology
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1186/s13059-025-03505-w
- Citations
- 1
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.81