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The problem of reverse-engineering the topology of interaction networks from time-course experimental data has been the subject of a considerable research effort in the last years, due to the potential applications in the most diverse fields, comprising engineering, biology, economics and social sciences. An important insight into such topic was brought by the introduction of the concept of scale-free...
The general problem of reconstructing a biological interaction network from temporal evolution data is tackled via an approach based on dynamical linear systems identification theory. A novel algorithm, based on linear matrix inequalities, is devised to infer the interaction network. This approach allows to directly taking into account, within the optimisation procedure, the a priori available knowledge...
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