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Bayesian module identification from multiple noisy networks

BACKGROUND AND MOTIVATIONS: Module identification has been studied extensively in order to gain deeper understanding of complex systems, such as social networks as well as biological networks. Modules are often defined as groups of vertices in these networks that are topologically cohesive with simi...

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Detalhes bibliográficos
Publicado no:EURASIP J Bioinform Syst Biol
Main Authors: Zamani Dadaneh, Siamak, Qian, Xiaoning
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4744266/
https://ncbi.nlm.nih.gov/pubmed/26893596
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-016-0038-9
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