Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder.

Wang X, Cao D, Zhang H, Chen W, Sun J, Hu H

DOI: 10.3389/fpsyt.2025.1539596
Published: 2025
Container: Frontiers in psychiatry
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyt.2025.1539596,
  title = {Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder.},
  author = {Wang X and Cao D and Zhang H and Chen W and Sun J and Hu H},
  year = {2025},
  journal = {Frontiers in psychiatry},
  doi = {10.3389/fpsyt.2025.1539596},
  url = {https://doi.org/10.3389/fpsyt.2025.1539596}
}

RIS

TY  - JOUR
TI  - Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder.
AU  - Wang X
AU  - Cao D
AU  - Zhang H
AU  - Chen W
AU  - Sun J
AU  - Hu H
PY  - 2025
JO  - Frontiers in psychiatry
DO  - 10.3389/fpsyt.2025.1539596
UR  - https://doi.org/10.3389/fpsyt.2025.1539596
ER  -

APA

X, W., D, C., H, Z., W, C., J, S., & H, H. (2025). Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder.. Frontiers in psychiatry. https://doi.org/10.3389/fpsyt.2025.1539596

Source records

pubmed · retrieved 2026-09-27T08:49:06.781Z