Machine learning unveils key Redox signatures for enhanced breast Cancer therapy

Abstract Background Breast cancer remains a leading cause of mortality among women worldwide, necessitating innovative prognostic models to enhance treatment strategies. Methods Our study retrospectively enrolled 9,439 breast cancer patients from 12 independent datasets and single-cell data from 12...

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Bibliographic Details
Main Authors: Tao Wang, Shu Wang, Zhuolin Li, Jie Xie, Kuiying Du, Jing Hou
Format: Article
Language:English
Published: BMC 2024-11-01
Series:Cancer Cell International
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Online Access:https://doi.org/10.1186/s12935-024-03534-8
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