Interpretable machine learning of clinical MALDI-TOF spectra discriminates carbapenem-resistant Klebsiella pneumoniae while revealing phylogenetic heterogeneity that limits model generalizability

Chuangye Cai, Mengxue Zou, Mingxiao Chen, Peibo Yuan, Zhencheng Fang, Lanlan Zhong, Dingqiang Chen, Hongwei Zhou, Nianyi Zeng

Open source

DOI
10.1016/j.jmsacl.2025.11.003
Published
2025-12
Container
Journal of Mass Spectrometry and Advances in the Clinical Lab
Publisher
Stanford University Press
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.jmsacl.2025.11.003,
  title = {Interpretable machine learning of clinical MALDI-TOF spectra discriminates carbapenem-resistant Klebsiella pneumoniae while revealing phylogenetic heterogeneity that limits model generalizability},
  author = {Chuangye Cai and Mengxue Zou and Mingxiao Chen and Peibo Yuan and Zhencheng Fang and Lanlan Zhong and Dingqiang Chen and Hongwei Zhou and Nianyi Zeng},
  year = {2025},
  journal = {Journal of Mass Spectrometry and Advances in the Clinical Lab},
  doi = {10.1016/j.jmsacl.2025.11.003},
  url = {https://doi.org/10.1016/j.jmsacl.2025.11.003}
}

RIS

TY  - JOUR
TI  - Interpretable machine learning of clinical MALDI-TOF spectra discriminates carbapenem-resistant Klebsiella pneumoniae while revealing phylogenetic heterogeneity that limits model generalizability
AU  - Chuangye Cai
AU  - Mengxue Zou
AU  - Mingxiao Chen
AU  - Peibo Yuan
AU  - Zhencheng Fang
AU  - Lanlan Zhong
AU  - Dingqiang Chen
AU  - Hongwei Zhou
AU  - Nianyi Zeng
PY  - 2025
JO  - Journal of Mass Spectrometry and Advances in the Clinical Lab
DO  - 10.1016/j.jmsacl.2025.11.003
UR  - https://doi.org/10.1016/j.jmsacl.2025.11.003
ER  - 

APA

Cai, C., Zou, M., Chen, M., Yuan, P., Fang, Z., Zhong, L., Chen, D., Zhou, H., & Zeng, N. (2025). Interpretable machine learning of clinical MALDI-TOF spectra discriminates carbapenem-resistant Klebsiella pneumoniae while revealing phylogenetic heterogeneity that limits model generalizability. Journal of Mass Spectrometry and Advances in the Clinical Lab. https://doi.org/10.1016/j.jmsacl.2025.11.003

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