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Peer-reviewedCC BY-NC-NDTranslational cancer research

A novel three-CpG signature for lung adenocarcinoma diagnosis: integrating multi-omics, machine learning, and clinical validation

4 affiliations
  1. 1Guangzhou University of Chinese Medicine , Guangzhou , ;
  2. 2Department of Laboratory Medicine , Panyu Hospital of Guangzhou University of Chinese Medicine , Guangzhou , ;
  3. 3Department of Thoracic Surgery , The Second Affiliated Hospital of Guangzhou University of Chinese Medicine , Guangzhou , ;
  4. 4Department of Laboratory Medicine , The Second Affiliated Hospital of Guangzhou University of Chinese Medicine , Guangzhou ,

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BibTeX
@article{liu2026novel,
  title = {{A novel three-CpG signature for lung adenocarcinoma diagnosis: integrating multi-omics, machine learning, and clinical validation}},
  author = {Qianying Liu and Maoting Shen and Lirui Yan and Yongfeng Li and Yi Wang and Junzhe Li and Shuyun Xiong and Jiamin Liao and Weikang Li and Yujuan Xiong and Ji-Cai Chen},
  journal = {Translational cancer research},
  year = {2026},
  month = sep,
  url = {https://europepmc.org/article/PMC/PMC13657836},
  note = {CC BY-NC-ND},
}
RIS
TY  - JOUR
TI  - A novel three-CpG signature for lung adenocarcinoma diagnosis: integrating multi-omics, machine learning, and clinical validation
AU  - Qianying Liu
AU  - Maoting Shen
AU  - Lirui Yan
AU  - Yongfeng Li
AU  - Yi Wang
AU  - Junzhe Li
AU  - Shuyun Xiong
AU  - Jiamin Liao
AU  - Weikang Li
AU  - Yujuan Xiong
AU  - Ji-Cai Chen
PY  - 2026
DA  - 2026/09/24
JO  - Translational cancer research
UR  - https://europepmc.org/article/PMC/PMC13657836
SN  - 2218-676X
ER  -