Deciphering the Immune Landscape of Abdominal Aortic Aneurysm: A Machine Learning and Cross-Species Validated Multi-Omics Approach

Minyong Peng, Menglin Nie, Yida Cao, Qiulei Liu, Chenxu Xing, Xiaorui Li, Yongjun Li, Zhiyuan Wu, Wayne W Zhang

Open source

DOI: 10.2147/jir.s622559
Published: 2026-09
Container: Journal of Inflammation Research
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2147/jir.s622559,
  title = {Deciphering the Immune Landscape of Abdominal Aortic Aneurysm: A Machine Learning and Cross-Species Validated Multi-Omics Approach},
  author = {Minyong Peng and Menglin Nie and Yida Cao and Qiulei Liu and Chenxu Xing and Xiaorui Li and Yongjun Li and Zhiyuan Wu and Wayne W Zhang},
  year = {2026},
  journal = {Journal of Inflammation Research},
  doi = {10.2147/jir.s622559},
  url = {https://doi.org/10.2147/jir.s622559}
}

RIS

TY  - JOUR
TI  - Deciphering the Immune Landscape of Abdominal Aortic Aneurysm: A Machine Learning and Cross-Species Validated Multi-Omics Approach
AU  - Minyong Peng
AU  - Menglin Nie
AU  - Yida Cao
AU  - Qiulei Liu
AU  - Chenxu Xing
AU  - Xiaorui Li
AU  - Yongjun Li
AU  - Zhiyuan Wu
AU  - Wayne W Zhang
PY  - 2026
JO  - Journal of Inflammation Research
DO  - 10.2147/jir.s622559
UR  - https://doi.org/10.2147/jir.s622559
ER  -

APA

Peng, M., Nie, M., Cao, Y., Liu, Q., Xing, C., Li, X., Li, Y., Wu, Z., & Zhang, W. W. (2026). Deciphering the Immune Landscape of Abdominal Aortic Aneurysm: A Machine Learning and Cross-Species Validated Multi-Omics Approach. Journal of Inflammation Research. https://doi.org/10.2147/jir.s622559

Source records

crossref · retrieved 2026-09-25T03:27:08.574Z