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Integrated machine learning and bioinformatic analyses constructed a sulfur metabolism-related breast cancer risk model and identified heat-shock protein A9 as a potential therapeutic target for human breast cancer

Crossref DOI link: https://doi.org/10.1007/s12672-026-04427-0

Published Online: 2026-01-16

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

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