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...
| Главные авторы: | , , , , , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Springer
2024-12-01
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| Серии: | Discover Oncology |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s12672-024-01670-1 |