Spatial omics in cancer: a review of computational approaches and vision of AI-driven analysis

Ananya Arvind, Mark Duhon, Yu-chyuan Su, JaeMo Kim, Xinmin Li

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DOI: 10.1016/j.ygeno.2026.111340
Published: 2026-11
Container: Genomics
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ygeno.2026.111340,
  title = {Spatial omics in cancer: a review of computational approaches and vision of AI-driven analysis},
  author = {Ananya Arvind and Mark Duhon and Yu-chyuan Su and JaeMo Kim and Xinmin Li},
  year = {2026},
  journal = {Genomics},
  doi = {10.1016/j.ygeno.2026.111340},
  url = {https://doi.org/10.1016/j.ygeno.2026.111340}
}

RIS

TY  - JOUR
TI  - Spatial omics in cancer: a review of computational approaches and vision of AI-driven analysis
AU  - Ananya Arvind
AU  - Mark Duhon
AU  - Yu-chyuan Su
AU  - JaeMo Kim
AU  - Xinmin Li
PY  - 2026
JO  - Genomics
DO  - 10.1016/j.ygeno.2026.111340
UR  - https://doi.org/10.1016/j.ygeno.2026.111340
ER  -

APA

Arvind, A., Duhon, M., Su, Y., Kim, J., & Li, X. (2026). Spatial omics in cancer: a review of computational approaches and vision of AI-driven analysis. Genomics. https://doi.org/10.1016/j.ygeno.2026.111340

Source records

crossref · retrieved 2026-11-07T09:39:15.681Z