Characterization of Epithelial-Mesenchymal Transition Identifies a Gene Signature for Predicting Clinical Outcomes and Therapeutic Responses in Bladder Cancer

PURPOSE: The complex etiological variables and high heterogeneity of bladder cancer (BC) make prognostic prediction challenging. We aimed to develop a robust and promising gene signature using advanced machine learning methods for predicting the prognosis and therapy responses of BC patients. METHOD...

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Detalles Bibliográficos
Autores principales: Wang, Yicun, Zhang, Hao, Hu, Xiaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708359/
https://www.ncbi.nlm.nih.gov/pubmed/36457546
http://dx.doi.org/10.1155/2022/9593039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708359/
https://www.ncbi.nlm.nih.gov/pubmed/36457546
http://dx.doi.org/10.1155/2022/9593039

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