Utilizing whole genome sequencing data for machine learning driven prediction of antibiotic resistance in Escherichia coli

Fang Wan, Wanning Tong, Weiwei Wu, Jia Liu, Hao Huang, Pei Zhang, Wenqing Jiang

Open source

DOI: 10.3389/fmicb.2026.1842717
Published: 2026-04-28
Container: Frontiers in Microbiology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fmicb.2026.1842717,
  title = {Utilizing whole genome sequencing data for machine learning driven prediction of antibiotic resistance in Escherichia coli},
  author = {Fang Wan and Wanning Tong and Weiwei Wu and Jia Liu and Hao Huang and Pei Zhang and Wenqing Jiang},
  year = {2026},
  journal = {Frontiers in Microbiology},
  doi = {10.3389/fmicb.2026.1842717},
  url = {https://doi.org/10.3389/fmicb.2026.1842717}
}

RIS

TY  - JOUR
TI  - Utilizing whole genome sequencing data for machine learning driven prediction of antibiotic resistance in Escherichia coli
AU  - Fang Wan
AU  - Wanning Tong
AU  - Weiwei Wu
AU  - Jia Liu
AU  - Hao Huang
AU  - Pei Zhang
AU  - Wenqing Jiang
PY  - 2026
JO  - Frontiers in Microbiology
DO  - 10.3389/fmicb.2026.1842717
UR  - https://doi.org/10.3389/fmicb.2026.1842717
ER  -

APA

Wan, F., Tong, W., Wu, W., Liu, J., Huang, H., Zhang, P., & Jiang, W. (2026). Utilizing whole genome sequencing data for machine learning driven prediction of antibiotic resistance in Escherichia coli. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2026.1842717

Source records

crossref · retrieved 2026-09-25T20:52:52.355Z