Identification of copper related biomarkers in breast cancer using machine learning

Identification of copper related biomarkers in breast cancer using machine learning

Abstract Background Breast cancer is the most prevalent and deadly cancer among women globally, necessitating more effective diagnostic and therapeutic approaches. This study aims to explore new treatment targets and diagnostic tools. Methods Employing machine learning techniques and utilizing PCR,...

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Bibliographic Details
Main Authors: Jing Wang, Haining Wang, Zilan Li, Qi Xu, Yiwei Yang, Run Shi, Feng Liu, Shiyang Jin
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Oncology
Subjects:
Biomarker
Breast cancer
Copper death
Immune infiltration
Machine learning
Online Access:https://doi.org/10.1007/s12672-025-03340-2
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