Article
Bayesian learning from marginal data in bionetwork models.
Statistical applications in genetics and molecular biology - 27 Oct 2011
Bonassi Fernando V, You Lingchong, West Mike
Abstract excerpt
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 surface protein markers, can be assayed at a series of interim time points and assumed steady-states under...
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