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Dynamic Networks from Hierarchical Bayesian Graph Clustering
Biological networks change dynamically as protein components are synthesized and degraded. Understanding the time-dependence and, in a multicellular organism, tissue-dependence of a network leads to insight beyond a view that collapses time-varying interactions into a single static map. Conventional...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2799515/ https://www.ncbi.nlm.nih.gov/pubmed/20084108 http://dx.doi.org/10.1371/journal.pone.0008118 |