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Large-scale transcriptomic data mining using explainable XGBoost and SHAP reveals shared biomarkers and molecular mechanisms between type-2 diabetes and triple-negative breast cancer for drug repurposing

Crossref DOI link: https://doi.org/10.1186/s13040-026-00575-9

Published Online: 2026-06-18

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

Authors

Ahmed, Md. Feroj

Sharma, Ovi

Noor, Tasfia

Latif, Md. Abdul

Ahmed, Md. Foysal

Bashak, Moumita

Ahmed, Dewan Mumdood

Hossain, Md. Sanoar

Mollah, Md. Nurul Haque
License Information

Text and Data Mining valid from 2026-06-18

Version of Record valid from 2026-08-31
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Article History

Received: 21 February 2026

Accepted: 9 June 2026

First Online: 18 June 2026

Declarations

Ethics approval and consent to participate: Not applicable, since the datasets analyzed in this study were downloaded from online sources that are freely available without any restriction.

Competing interests: The authors declare no competing interests.

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