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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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| Vydáno v: | Cancer Med |
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| Hlavní autoři: | , , , , , , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Blackwell Publishing Ltd
2014
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4302672/ https://ncbi.nlm.nih.gov/pubmed/25142434 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cam4.217 |
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