Crossmark

Integrating immune multi-omics and machine learning to improve prognosis, immune landscape, and sensitivity to first- and second-line treatments for head and neck squamous cell carcinoma

Crossref DOI link: https://doi.org/10.1038/s41598-024-83184-y

Published Online: 2024-12-28

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

Authors

Yin, Ji

Xu, Lin

Wang, Shange

Zhang, Linshuai

Zhang, Yujie

Zhai, Zhenwei

Zeng, Pengfei

Grzegorzek, Marcin

Jiang, Tao
Funding

Funding for this research was provided by:

The China Postdoctoral Science Foundation (2023M730378, 2023M730378)

Xinglin Scholar” Scientific Research Promotion Plan of Chengdu University of TCM (BSH2023025, BSH2023025)

Sichuan Province Science and Technology Support Program (2024NSFC0722)
License Information

Text and Data Mining valid from 2024-12-28

Version of Record valid from 2024-12-28
More Information

Article History

Received: 29 June 2024

Accepted: 12 December 2024

First Online: 28 December 2024

Declaration

:

: The authors declare no competing interests.

Document is current

Any future updates will be listed below