An approach for diagnosis of diarrhea in neonatal piglets based on the core gut microbiota and machine learning

Shilong Zhao, Siyi Peng, Huihui Li, Guangxin Yang, Xuefeng Gao, Ke Xu, Lijun Shi, Haitao Yu, Shiyan Qiao

Open source

DOI
10.3389/fmicb.2026.1852304
Published
2026-06-05
Container
Frontiers in Microbiology
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fmicb.2026.1852304,
  title = {An approach for diagnosis of diarrhea in neonatal piglets based on the core gut microbiota and machine learning},
  author = {Shilong Zhao and Siyi Peng and Huihui Li and Guangxin Yang and Xuefeng Gao and Ke Xu and Lijun Shi and Haitao Yu and Shiyan Qiao},
  year = {2026},
  journal = {Frontiers in Microbiology},
  doi = {10.3389/fmicb.2026.1852304},
  url = {https://doi.org/10.3389/fmicb.2026.1852304}
}

RIS

TY  - JOUR
TI  - An approach for diagnosis of diarrhea in neonatal piglets based on the core gut microbiota and machine learning
AU  - Shilong Zhao
AU  - Siyi Peng
AU  - Huihui Li
AU  - Guangxin Yang
AU  - Xuefeng Gao
AU  - Ke Xu
AU  - Lijun Shi
AU  - Haitao Yu
AU  - Shiyan Qiao
PY  - 2026
JO  - Frontiers in Microbiology
DO  - 10.3389/fmicb.2026.1852304
UR  - https://doi.org/10.3389/fmicb.2026.1852304
ER  - 

APA

Zhao, S., Peng, S., Li, H., Yang, G., Gao, X., Xu, K., Shi, L., Yu, H., & Qiao, S. (2026). An approach for diagnosis of diarrhea in neonatal piglets based on the core gut microbiota and machine learning. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2026.1852304

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