The aim of this workshop was to bring experts in probability, information theory and stochastic systems alongside experimental systems biologists to develop understanding of the principles underlying cellular signalling and decision-making, and to develop quantitative techniques to investigate those principles experimentally.
Key topics addressed include:
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New information theoretic approaches to sensing and signal transduction by cells with an emphasis on dynamic problems
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Study of stochastic biochemical networks
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Inferential methods for statistical modelling of time series data from single cells
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Cellular decision-making, both intracellular and intercellular
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Design of signal transduction networks for use in synthetic biology
