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Computational identification of surrogate genes for prostate cancer phases using machine learning and molecular network analysis

BACKGROUND: Prostate cancer is one of the most common malignant diseases and is characterized by heterogeneity in the clinical course. To date, there are no efficient morphologic features or genomic biomarkers that can characterize the phenotypes of the cancer, especially with regard to metastasis –...

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Detalles Bibliográficos
Autores principales:	Li, Rudong, Dong, Xiao, Ma, Chengcheng, Liu, Lei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2014
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4159107/ https://www.ncbi.nlm.nih.gov/pubmed/25151146 http://dx.doi.org/10.1186/1742-4682-11-37

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