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Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer

Crossref DOI link: https://doi.org/10.1007/s12672-026-04824-5

Published Online: 2026-03-23

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

Authors

Huo, Zhenzhong

Sun, Weibo

Lou, Chun

Yang, Tiansong
Funding

Funding for this research was provided by:

Natural Science Foundation of Heilongjiang Province (PL2024H181)
License Information

Text and Data Mining valid from 2026-03-23

Accepted Manuscript valid from 2026-03-23
More Information

Article History

Received: 23 January 2026

Accepted: 9 March 2026

First Online: 23 March 2026

Declarations

:

: There are no ethical considerations applicable to our article.

: Not applicable.

: The authors declare no competing interests.

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