Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers

Ovarian cancer is one of the most common gynecological malignancies, ranking third after cervical and uterine cancer. High-grade serous ovarian cancer (HGSOC) is one of the most aggressive subtype, and the late onset of its symptoms leads in most cases to an unfavourable prognosis. Current predictiv...

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Detalles Bibliográficos
Autores principales: Farinella, Federica, Merone, Mario, Bacco, Luca, Capirchio, Adriano, Ciccozzi, Massimo, Caligiore, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866540/
https://www.ncbi.nlm.nih.gov/pubmed/35197484
http://dx.doi.org/10.1038/s41598-022-06788-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8866540/
https://www.ncbi.nlm.nih.gov/pubmed/35197484
http://dx.doi.org/10.1038/s41598-022-06788-2

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