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A deep learning-based framework for predicting survival-associated groups in colon cancer by integrating multi-omics and clinical data
Precise prognostic classification of patients and identifying survival subgroups and their associated genes can be important clinical references when designing treatment strategies for cancer patients. Multi-omics and data integration techniques are powerful tools to achieve this goal. This study ai...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344710/ https://www.ncbi.nlm.nih.gov/pubmed/37455955 http://dx.doi.org/10.1016/j.heliyon.2023.e17653 |