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Bayesian Learning from Marginal Data in Bionetwork Models
In studies of dynamic molecular networks in systems biology, experiments are increasingly exploiting technologies such as flow cytometry to generate data on marginal distributions of a few network nodes at snapshots in time. For example, levels of intracellular expression of a few genes, or cell sur...
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| Main Authors: | , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Berkeley Electronic Press
2011
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3215428/ https://ncbi.nlm.nih.gov/pubmed/23089812 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2202/1544-6115.1684 |
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