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Unraveling hereditary breast cancer susceptibility: a systems biology approach on GEO datasets with functional genomic insights and implications for traditional Chinese medicine

Crossref DOI link: https://doi.org/10.1186/s43042-025-00742-3

Published Online: 2025-06-22

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

Authors

Amjad, Elham

Sokouti, Babak https://orcid.org/0000-0002-8160-0301
License Information

Text and Data Mining valid from 2025-06-22

Version of Record valid from 2025-06-22
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Article History

Received: 9 January 2025

Accepted: 8 June 2025

First Online: 22 June 2025

Declarations

:

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Not applicable.

: The authors declare that they have no competing interest.

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