Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics
- DOI
- 10.1007/s12672-026-05443-w
- Published
- 2026-06-16
- Container
- Discover Oncology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s12672-026-05443-w,
title = {Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics},
author = {Yaozhuang Zhou and Yuanyuan Gu and Chunhua Xie and Yucong Liu and Maosheng Zhang and Liyun Zhang},
year = {2026},
journal = {Discover Oncology},
doi = {10.1007/s12672-026-05443-w},
url = {https://doi.org/10.1007/s12672-026-05443-w}
}RIS
TY - JOUR TI - Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics AU - Yaozhuang Zhou AU - Yuanyuan Gu AU - Chunhua Xie AU - Yucong Liu AU - Maosheng Zhang AU - Liyun Zhang PY - 2026 JO - Discover Oncology DO - 10.1007/s12672-026-05443-w UR - https://doi.org/10.1007/s12672-026-05443-w ER -
APA
Zhou, Y., Gu, Y., Xie, C., Liu, Y., Zhang, M., & Zhang, L. (2026). Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics. Discover Oncology. https://doi.org/10.1007/s12672-026-05443-w
Source records
- crossref · retrieved 2026-11-05T19:22:00.429Z