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Peer-reviewedCC BY-NC-NDACS omega

Integration of Network Toxicology and Machine Learning to Prioritize Candidate Molecular Features Associated with NNK-Related Lung Cancer

  • Ying Li1
  • Hongfeng Wu2
  • Ping Liu3
  • Jiaqi Ji4
  • Quan Zhang2
  • Yongqiang Zhang5
  • Yongwen Li2
5 affiliations
  1. 1Tianjin Neurological Institute, Key Laboratory of Post-Neuro Injury, Neuro-repair and Regeneration in Central Nervous System, Ministry of Education and Tianjin City , , ,
  2. 2Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Tianjin Lung Cancer Institute , Tianjin Medical University General Hospital , ,
  3. 3Department of Dermatovenereology , Tianjin Medical University General Hospital , ,
  4. 4Department of Pulmonary and Critical Care Medicine, Sichuan Provincial People’s Hospital, School of Medicine , University of Electronic Science and Technology of China , , ,
  5. 5Department of Geriatrics, Geriatric Ward of Neurology, Institute of Tianjin Geriatrics , Tianjin Medical University General Hospital , ,
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Cite

BibTeXRIS
BibTeX
@article{li2026integration,
  title = {{Integration of Network Toxicology and Machine Learning to Prioritize Candidate Molecular Features Associated with NNK-Related Lung Cancer}},
  author = {Ying Li and Hongfeng Wu and Ping Liu and Jiaqi Ji and Quan Zhang and Yongqiang Zhang and Yongwen Li},
  journal = {ACS omega},
  year = {2026},
  month = oct,
  url = {https://europepmc.org/article/PMC/PMC13670790},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - Integration of Network Toxicology and Machine Learning to Prioritize Candidate Molecular Features Associated with NNK-Related Lung Cancer
AU  - Ying Li
AU  - Hongfeng Wu
AU  - Ping Liu
AU  - Jiaqi Ji
AU  - Quan Zhang
AU  - Yongqiang Zhang
AU  - Yongwen Li
PY  - 2026
DA  - 2026/10/19
JO  - ACS omega
UR  - https://europepmc.org/article/PMC/PMC13670790
SN  - 2470-1343
ER  -