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...

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Detalles Bibliográficos
Autores principales: Salimy, Siamak, Lanjanian, Hossein, Abbasi, Karim, Salimi, Mahdieh, Najafi, Ali, Tapak, Leili, Masoudi-Nejad, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
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

Internet

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

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