A multi-algorithm machine learning framework identifies FGD5, LRRC36, C8B, and MYOC as novel diagnostic biomarkers in lung adenocarcinoma
Abstract Background Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and exhibits complex heterogeneity. Despite extensive research on driver gene mutations such as in EGFR and TP53, resistance mechanisms and co-mutations underscore the need to elucidate the molecular mechanisms...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2026-01-01
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| Schriftenreihe: | Discover Oncology |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s12672-026-04505-3 |
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