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Construction of a diagnostic model for nasopharyngeal carcinoma using a consensus machine learning approach and study of immune infiltration characteristics

Crossref DOI link: https://doi.org/10.1007/s12672-026-05443-w

Published Online: 2026-06-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhou, Yaozhuang

Gu, Yuanyuan

Xie, Chunhua

Liu, Yucong

Zhang, Maosheng

Zhang, Liyun
Funding

Funding for this research was provided by:

广西自然科学基金 (2024JJA140662)
License Information

Text and Data Mining valid from 2026-06-16

Accepted Manuscript valid from 2026-06-16
More Information

Article History

Received: 2 February 2026

Accepted: 9 June 2026

First Online: 16 June 2026

Declarations

:

: This study is based on the analysis of publicly available datasets and does not involve any new experiments on human participants or animals by the authors. Therefore, ethical approval is not applicable to this manuscript.

: Not applicable.

: The authors declare no competing interests.

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