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Resolving the structure of interactomes with hierarchical agglomerative clustering
BACKGROUND: Graphs provide a natural framework for visualizing and analyzing networks of many types, including biological networks. Network clustering is a valuable approach for summarizing the structure in large networks, for predicting unobserved interactions, and for predicting functional annotat...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3044301/ https://www.ncbi.nlm.nih.gov/pubmed/21342576 http://dx.doi.org/10.1186/1471-2105-12-S1-S44 |