Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for muscle-invasive urothelial cancer

Muscle-invasive urothelial cancer (MUC), characterized by high aggressiveness and significant heterogeneity, is currently lacking highly precise individualized treatment options. We used a computational pipeline to synthesize multiomics data from MUC patients using 10 clustering algorithms, which we...

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Detalles Bibliográficos
Autores principales: Chu, Guangdi, Ji, Xiaoyu, Wang, Yonghua, Niu, Haitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society of Gene & Cell Therapy 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336357/
https://www.ncbi.nlm.nih.gov/pubmed/37449047
http://dx.doi.org/10.1016/j.omtn.2023.06.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10336357/
https://www.ncbi.nlm.nih.gov/pubmed/37449047
http://dx.doi.org/10.1016/j.omtn.2023.06.001

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