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A Bayesian Network View on Nested Effects Models
Nested effects models (NEMs) are a class of probabilistic models that were designed to reconstruct a hidden signalling structure from a large set of observable effects caused by active interventions into the signalling pathway. We give a more flexible formulation of NEMs in the language of Bayesian...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2008
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3171420/ https://ncbi.nlm.nih.gov/pubmed/19148294 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2009/195272 |
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