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Deciphering the connectivity structure of biological networks using MixNet
BACKGROUND: As biological networks often show complex topological features, mathematical methods are required to extract meaningful information. Clustering methods are useful in this setting, as they allow the summary of the network's topology into a small number of relevant classes. Different...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2697640/ https://www.ncbi.nlm.nih.gov/pubmed/19534742 http://dx.doi.org/10.1186/1471-2105-10-S6-S17 |