SPOmiAlign: a modality-agnostic computational framework for multimodal spatial omics alignment enabled by a feature matching foundation model

Yi Wang, Zihang He, Yunjie Yan

Open source

DOI: 10.1093/bib/bbag331
Published: 2026-05
Container: Briefings in Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag331,
  title = {SPOmiAlign: a modality-agnostic computational framework for multimodal spatial omics alignment enabled by a feature matching foundation model},
  author = {Yi Wang and Zihang He and Yunjie Yan},
  year = {2026},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbag331},
  url = {https://doi.org/10.1093/bib/bbag331}
}

RIS

TY  - JOUR
TI  - SPOmiAlign: a modality-agnostic computational framework for multimodal spatial omics alignment enabled by a feature matching foundation model
AU  - Yi Wang
AU  - Zihang He
AU  - Yunjie Yan
PY  - 2026
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbag331
UR  - https://doi.org/10.1093/bib/bbag331
ER  -

APA

Wang, Y., He, Z., & Yan, Y. (2026). SPOmiAlign: a modality-agnostic computational framework for multimodal spatial omics alignment enabled by a feature matching foundation model. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbag331

Source records

crossref · retrieved 2026-09-25T20:15:06.553Z