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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...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2799515/ https://ncbi.nlm.nih.gov/pubmed/20084108 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0008118 |
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