DWGCN: distance-weighted graph convolutional network for robust spatial domain identification in spatial transcriptomics
These results demonstrate that DWGCN offers a broadly applicable approach for restoring distance-aware structure in spatial graphs, thereby improving the delineation of spatial domain identification.
Authors
- Guo Xiaobo
- Jiamiao Wu
- Qing Fan (ORCID: https://orcid.org/0000-0002-8868-4261)
- Guobin Li
- Chunfang Peng
Institutions
- Sun Yat-sen University (CN)
- Duke-NUS Medical School (SG)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2026-02-09
- DOI
- https://doi.org/10.3389/fgene.2026.1779455
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China