Graph neural networks for single-cell omics data: a review of approaches and applications

Sijie Li, Heyang Hua, Shengquan Chen

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DOI: 10.1093/bib/bbaf109
Published: 2025-03
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/bbaf109,
  title = {Graph neural networks for single-cell omics data: a review of approaches and applications},
  author = {Sijie Li and Heyang Hua and Shengquan Chen},
  year = {2025},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbaf109},
  url = {https://doi.org/10.1093/bib/bbaf109}
}

RIS

TY  - JOUR
TI  - Graph neural networks for single-cell omics data: a review of approaches and applications
AU  - Sijie Li
AU  - Heyang Hua
AU  - Shengquan Chen
PY  - 2025
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbaf109
UR  - https://doi.org/10.1093/bib/bbaf109
ER  -

APA

Li, S., Hua, H., & Chen, S. (2025). Graph neural networks for single-cell omics data: a review of approaches and applications. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbaf109

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crossref · retrieved 2026-09-25T23:36:38.665Z