Analysis of differential expression of genes is often performed to understand how the metabolic activity of an organism is impacted by a perturbation. However, because the system of metabolic regulation is complex and all changes are not directly reflected in the expression levels, interpreting these data can be difficult.
Systems biology focuses on the integration of experimental, mathematical and computational techniques to develop systemic views and predictive models of biological systems. In this perspective, the concept of network has been a powerful tool for the representation and the analysis of complex systems: during the last two decades, the so-called network biology approach has been fruitfully applied in many different biological areas, from gene regulation, to protein-protein interactions, to neural signals.
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