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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)

Natural Science Foundation of Fujian Province (2023J01103)

Natural Science Foundation of Fujian Province (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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