A Hierarchical Machine Learning Model to Discover Gleason Grade-Specific Biomarkers in Prostate Cancer

(1) Background:One of the most common cancers that affect North American men and men worldwide is prostate cancer. The Gleason score is a pathological grading system to examine the potential aggressiveness of the disease in the prostate tissue. Advancements in computing and next-generation sequencin...

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Detalles Bibliográficos
Autores principales: Hamzeh, Osama, Alkhateeb, Abedalrhman, Zheng, Julia Zhuoran, Kandalam, Srinath, Leung, Crystal, Atikukke, Govindaraja, Cavallo-Medved, Dora, Palanisamy, Nallasivam, Rueda, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963340/
https://www.ncbi.nlm.nih.gov/pubmed/31835700
http://dx.doi.org/10.3390/diagnostics9040219

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963340/
https://www.ncbi.nlm.nih.gov/pubmed/31835700
http://dx.doi.org/10.3390/diagnostics9040219

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