Development and validation of a robust cuproptosis related signature for primary glioma via machine learning aided by loop training and validation
Abstract Background Glioma is the most common malignant tumors in central nervous system with high mortality. Accurately predicting prognosis for patients with glioma still remains a challenge. Accumulated studies have found that cuproptosis-related genes emerged as potential biomarkers for cancer p...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2026-02-01
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| Col·lecció: | Discover Oncology |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s12672-026-04458-7 |
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