Time and Condition Dependent Biological Networks
In biology molecular interaction networks are used to summarize the interactions between proteins and other molecules inside a cell. Generally they are considered as static objects, but in reality they are highly dynamic and change in response to environmental and internal signals and processes; but also in case-control studies we would expect the regulatory networks to differ between afflicted carriers and healthy controls. Here we develop a set of approaches that capture this dynamic behaviour. Surprisingly, perhaps, the underlying mathematical framework of Bayesian non-parametric approaches is also
I will conclude by discussing the functional and evolutionary implications that result from this more detailed perspective.