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Integrated machine learning algorithms identify KIF15 as a potential prognostic biomarker and correlated with stemness in triple-negative breast cancer

Crossref DOI link: https://doi.org/10.1038/s41598-024-72406-y

Published Online: 2024-09-13

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

Authors

Guo, Qiaonan

Qiu, Pengjun

Pan, Kelun

Liang, Huikai

Liu, Zundong

Lin, Jianqing
Funding

Funding for this research was provided by:

Natural Science Foundation of Fujian Province (2023J01103, 2023J01103, 2023J01103)

Doctoral Special Foundation of the Second Affiliated Hospital of Fujian Medical University (2022BD0905)
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Text and Data Mining valid from 2024-09-13

Version of Record valid from 2024-09-13
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Article History

Received: 17 April 2024

Accepted: 6 September 2024

First Online: 13 September 2024

Competing interests

: The authors declare no competing interests.

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