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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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Podrobná bibliografie
Vydáno v:Oncotarget
Hlavní autoři: Torricelli, Federica, Nicoli, Davide, Bellazzi, Riccardo, Ciarrocchi, Alessia, Farnetti, Enrico, Mastrofilippo, Valentina, Zamponi, Raffaella, La Sala, Giovanni Battista, Casali, Bruno, Mandato, Vincenzo Dario
Médium: Artigo
Jazyk:Inglês
Vydáno: Impact Journals LLC 2018
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5986657/
https://ncbi.nlm.nih.gov/pubmed/29876005
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18632/oncotarget.25354
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