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