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Hierarchical closeness-based properties reveal cancer survivability and biomarker genes in molecular signaling networks
Specific molecular signaling networks underlie different cancer types and quantitative analyses on those cancer networks can provide useful information about cancer treatments. Their structural metrics can reveal survivability of cancer patients and be used to identify biomarker genes for early canc...
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| Publicado no: | PLoS One |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6005509/ https://ncbi.nlm.nih.gov/pubmed/29912931 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0199109 |
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