PTEN and DNA Ploidy Status by Machine Learning in Prostate Cancer

SIMPLE SUMMARY: Molecular tissue-based prognostic biomarkers are anticipated to complement the current risk stratification systems in prostate cancer, but their manual assessment is subjective and time-consuming. Objective assessment of such biomarkers by machine learning-based methods could advance...

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Detalles Bibliográficos
Autores principales: Cyll, Karolina, Kleppe, Andreas, Kalsnes, Joakim, Vlatkovic, Ljiljana, Pradhan, Manohar, Kildal, Wanja, Tobin, Kari Anne R., Reine, Trine M., Wæhre, Håkon, Brennhovd, Bjørn, Askautrud, Hanne A., Skaaheim Haug, Erik, Hveem, Tarjei S., Danielsen, Håvard E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428363/
https://www.ncbi.nlm.nih.gov/pubmed/34503100
http://dx.doi.org/10.3390/cancers13174291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8428363/
https://www.ncbi.nlm.nih.gov/pubmed/34503100
http://dx.doi.org/10.3390/cancers13174291

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