Artificial Intelligence–Driven Graph Methods for Microbiome Research: A Systematic Review

Cedrique Shum‐Tim, Paromita Islam, Jacqueline L. Boyajian, Ahmed Abosalha, Amal Kassab, Madison Santos, Kinaan Aamir Khan, Kiri Stern, Amin Emad, Satya Prakash

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DOI: 10.1002/wsbm.70016
Published: 2026-10-29
Container: WIREs Mechanisms of Disease
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/wsbm.70016,
  title = {Artificial Intelligence–Driven Graph Methods for Microbiome Research: A Systematic Review},
  author = {Cedrique Shum‐Tim and Paromita Islam and Jacqueline L. Boyajian and Ahmed Abosalha and Amal Kassab and Madison Santos and Kinaan Aamir Khan and Kiri Stern and Amin Emad and Satya Prakash},
  year = {2026},
  journal = {WIREs Mechanisms of Disease},
  doi = {10.1002/wsbm.70016},
  url = {https://doi.org/10.1002/wsbm.70016}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence–Driven Graph Methods for Microbiome Research: A Systematic Review
AU  - Cedrique Shum‐Tim
AU  - Paromita Islam
AU  - Jacqueline L. Boyajian
AU  - Ahmed Abosalha
AU  - Amal Kassab
AU  - Madison Santos
AU  - Kinaan Aamir Khan
AU  - Kiri Stern
AU  - Amin Emad
AU  - Satya Prakash
PY  - 2026
JO  - WIREs Mechanisms of Disease
DO  - 10.1002/wsbm.70016
UR  - https://doi.org/10.1002/wsbm.70016
ER  -

APA

Shum‐Tim, C., Islam, P., Boyajian, J. L., Abosalha, A., Kassab, A., Santos, M., Khan, K. A., Stern, K., Emad, A., & Prakash, S. (2026). Artificial Intelligence–Driven Graph Methods for Microbiome Research: A Systematic Review. WIREs Mechanisms of Disease. https://doi.org/10.1002/wsbm.70016

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crossref · retrieved 2026-11-10T06:48:47.909Z