Gut microbial and functional signatures in breast cancer: an integrated metagenomic and machine learning approach to non-invasive detection

Yalin Li, Yi Cheng, Weichi Liu, Jingjin Li, Shiqi Li, Suriguga, Teng Ma, Lai-Yu Kwok, Zhihui Cai, Zhihong Sun

Open source

DOI
10.3389/fmicb.2025.1722632
Published
2026-01-15
Container
Frontiers in Microbiology
Publisher
Frontiers Media SA
Open access
unknown

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BibTeX

@article{allodium:10.3389/fmicb.2025.1722632,
  title = {Gut microbial and functional signatures in breast cancer: an integrated metagenomic and machine learning approach to non-invasive detection},
  author = {Yalin Li and Yi Cheng and Weichi Liu and Jingjin Li and Shiqi Li and Suriguga and Teng Ma and Lai-Yu Kwok and Zhihui Cai and Zhihong Sun},
  year = {2026},
  journal = {Frontiers in Microbiology},
  doi = {10.3389/fmicb.2025.1722632},
  url = {https://doi.org/10.3389/fmicb.2025.1722632}
}

RIS

TY  - JOUR
TI  - Gut microbial and functional signatures in breast cancer: an integrated metagenomic and machine learning approach to non-invasive detection
AU  - Yalin Li
AU  - Yi Cheng
AU  - Weichi Liu
AU  - Jingjin Li
AU  - Shiqi Li
AU  - Suriguga
AU  - Teng Ma
AU  - Lai-Yu Kwok
AU  - Zhihui Cai
AU  - Zhihong Sun
PY  - 2026
JO  - Frontiers in Microbiology
DO  - 10.3389/fmicb.2025.1722632
UR  - https://doi.org/10.3389/fmicb.2025.1722632
ER  - 

APA

Li, Y., Cheng, Y., Liu, W., Li, J., Li, S., Suriguga, Ma, T., Kwok, L., Cai, Z., & Sun, Z. (2026). Gut microbial and functional signatures in breast cancer: an integrated metagenomic and machine learning approach to non-invasive detection. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2025.1722632

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