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Parenclitic Network Analysis of Methylation Data for Cancer Identification
We make use of ideas from the theory of complex networks to implement a machine learning classification of human DNA methylation data, that carry signatures of cancer development. The data were obtained from patients with various kinds of cancers and represented as parenclictic networks, wherein nod...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2017
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5249089/ https://ncbi.nlm.nih.gov/pubmed/28107365 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0169661 |
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