SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks.
- DOI
- 10.1038/s41467-026-77924-z
- Published
- 2026 Sep 26
- Container
- Nature communications
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41467-026-77924-z,
title = {SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks.},
author = {Rifaioglu AS and Ervin EH and Sarigun A and Germen D and Bodenmiller B and Tanevski J and Saez-Rodriguez J},
year = {2026},
journal = {Nature communications},
doi = {10.1038/s41467-026-77924-z},
url = {https://doi.org/10.1038/s41467-026-77924-z}
}RIS
TY - JOUR TI - SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks. AU - Rifaioglu AS AU - Ervin EH AU - Sarigun A AU - Germen D AU - Bodenmiller B AU - Tanevski J AU - Saez-Rodriguez J PY - 2026 JO - Nature communications DO - 10.1038/s41467-026-77924-z UR - https://doi.org/10.1038/s41467-026-77924-z ER -
APA
AS, R., EH, E., A, S., D, G., B, B., J, T., & J, S. (2026). SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks.. Nature communications. https://doi.org/10.1038/s41467-026-77924-z
Source records
- pubmed · retrieved 2026-09-27T16:00:52.204Z