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An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules

Due to the high heterogeneity and complexity of cancer, it is still a challenge to predict the prognosis of cancer patients. In this work, we used a clustering algorithm to divide patients into different subtypes in order to reduce the heterogeneity of the cancer patients in each subtype. Based on t...

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Detalles Bibliográficos
Autores principales: Gao, Yi-Cheng, Zhou, Xiong-Hui, Zhang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491874/
https://www.ncbi.nlm.nih.gov/pubmed/31068972
http://dx.doi.org/10.3389/fgene.2019.00366