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...

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Detalles Bibliográficos
Autores principales: Picard, Franck, Miele, Vincent, Daudin, Jean-Jacques, Cottret, Ludovic, Robin, Stéphane
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Proceedings
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

Internet

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

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