Molecular subtyping of bladder cancer using Kohonen self-organizing maps

Kohonen self-organizing maps (SOMs) are unsupervised Artificial Neural Networks (ANNs) that are good for low-density data visualization. They easily deal with complex and nonlinear relationships between variables. We evaluated molecular events that characterize high- and low-grade BC pathways in the...

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Detalles Bibliográficos
Autores principales: Borkowska, Edyta M, Kruk, Andrzej, Jedrzejczyk, Adam, Rozniecki, Marek, Jablonowski, Zbigniew, Traczyk, Magdalena, Constantinou, Maria, Banaszkiewicz, Monika, Pietrusinski, Michal, Sosnowski, Marek, Hamdy, Freddie C, Peter, Stefan, Catto, James WF, Kaluzewski, Bogdan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Cancer Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302672/
https://www.ncbi.nlm.nih.gov/pubmed/25142434
http://dx.doi.org/10.1002/cam4.217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302672/
https://www.ncbi.nlm.nih.gov/pubmed/25142434
http://dx.doi.org/10.1002/cam4.217

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