Unsupervised deep learning reveals prognostically relevant subtypes of glioblastoma

BACKGROUND: One approach to improving the personalized treatment of cancer is to understand the cellular signaling transduction pathways that cause cancer at the level of the individual patient. In this study, we used unsupervised deep learning to learn the hierarchical structure within cancer gene...

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Detalles Bibliográficos
Autores principales: Young, Jonathan D., Cai, Chunhui, Lu, Xinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629551/
https://www.ncbi.nlm.nih.gov/pubmed/28984190
http://dx.doi.org/10.1186/s12859-017-1798-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5629551/
https://www.ncbi.nlm.nih.gov/pubmed/28984190
http://dx.doi.org/10.1186/s12859-017-1798-2

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