Machine learning reveals CAT gene as a novel potential diagnostic and prognostic biomarker in non-small cell lung cancer
Abstract Background Non-small cell lung cancer (NSCLC) represents one of the most prevalent forms of lung cancer, with a five-year survival rate of 21.7%. There is an urgent need to identify pertinent biomarkers to inform the diagnosis and prognosis of tumors, particularly those that can be applied...
| Main Authors: | , , , , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Springer
2024-12-01
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| 叢編: | Discover Oncology |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/s12672-024-01670-1 |