Computational development of a molecular-based approach to improve risk stratification of endometrial cancer patients

Histological classification and staging are the gold standard for the prognosis of endometrial cancer (EC). However, in morphologically intermediate and doubtful cases this approach results largely insufficient, defining the need for better classification criteria. In this work we developed an algor...

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Detalles Bibliográficos
Autores principales: Torricelli, Federica, Nicoli, Davide, Bellazzi, Riccardo, Ciarrocchi, Alessia, Farnetti, Enrico, Mastrofilippo, Valentina, Zamponi, Raffaella, La Sala, Giovanni Battista, Casali, Bruno, Mandato, Vincenzo Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5986657/
https://www.ncbi.nlm.nih.gov/pubmed/29876005
http://dx.doi.org/10.18632/oncotarget.25354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5986657/
https://www.ncbi.nlm.nih.gov/pubmed/29876005
http://dx.doi.org/10.18632/oncotarget.25354

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