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Darren Wilkinson: High-throughput data for systems biology modelling

Much of computational systems biology is concerned with building dynamic mechanistic models of cellular processes. Post-genomic technologies are able to generate high-throughput data such as time course microarray data that are potentially useful for helping to build and refine such models. This talk will describe some of the challenges associated with Bayesian modelling of high-dimensional time course data from a dynamic mechanistic perspective.