SpatialFormer: universal spatial representation learning from subcellular molecular to multicellular landscapes.

Wang J, Huang Y, Winther O

DOI: 10.1038/s43588-026-01016-7
Published: 2026 Sep
Container: Nature computational science
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s43588-026-01016-7,
  title = {SpatialFormer: universal spatial representation learning from subcellular molecular to multicellular landscapes.},
  author = {Wang J and Huang Y and Winther O},
  year = {2026},
  journal = {Nature computational science},
  doi = {10.1038/s43588-026-01016-7},
  url = {https://doi.org/10.1038/s43588-026-01016-7}
}

RIS

TY  - JOUR
TI  - SpatialFormer: universal spatial representation learning from subcellular molecular to multicellular landscapes.
AU  - Wang J
AU  - Huang Y
AU  - Winther O
PY  - 2026
JO  - Nature computational science
DO  - 10.1038/s43588-026-01016-7
UR  - https://doi.org/10.1038/s43588-026-01016-7
ER  -

APA

J, W., Y, H., & O, W. (2026). SpatialFormer: universal spatial representation learning from subcellular molecular to multicellular landscapes.. Nature computational science. https://doi.org/10.1038/s43588-026-01016-7

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pubmed · retrieved 2026-09-25T23:27:41.878Z