Predicting prognosis of endometrioid endometrial adenocarcinoma on the basis of gene expression and clinical features using Random Forest

Traditional clinical features are not sufficient to accurately judge the prognosis of endometrioid endometrial adenocarcinoma (EEA). Molecular biological characteristics and traditional clinical features are particularly important in the prognosis of EEA. The aim of the present study was to establis...

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Detalhes bibliográficos
Publicado no:Oncol Lett
Main Authors: Yin, Fufen, Shao, Xingyang, Zhao, Lijun, Li, Xiaoping, Zhou, Jingyi, Cheng, Yuan, He, Xiangjun, Lei, Shu, Li, Jiangeng, Wang, Jianliu
Formato: Artigo
Idioma:Inglês
Publicado em: D.A. Spandidos 2019
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Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6607378/
https://ncbi.nlm.nih.gov/pubmed/31423227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3892/ol.2019.10504
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