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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Detalles Bibliográficos
Autores principales: Yin, Fufen, Shao, Xingyang, Zhao, Lijun, Li, Xiaoping, Zhou, Jingyi, Cheng, Yuan, He, Xiangjun, Lei, Shu, Li, Jiangeng, Wang, Jianliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6607378/
https://www.ncbi.nlm.nih.gov/pubmed/31423227
http://dx.doi.org/10.3892/ol.2019.10504