Towards precision oncology discovery: four less known genes and their unknown interactions as highest-performed biomarkers for colorectal cancer
Abstract The goal of this study was to use a new interpretable machine-learning framework based on max-logistic competing risk factor models to identify a parsimonious set of differentially expressed genes (DEGs) that play a pivotal role in the development of colorectal cancer (CRC). Transcriptome d...
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| Autors principals: | , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2024-01-01
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| Col·lecció: | npj Precision Oncology |
| Accés en línia: | https://doi.org/10.1038/s41698-024-00512-1 |
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