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Linear matrix inequalities approach to reconstruction of biological networks

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6 Author(s)
Cosentino, C. ; Sch. of Comput. & Biomed. Eng., Univ. degli Studi Magna Graecia di Catanzaro ; Curatola, W. ; Montefusco, F. ; Bansal, M.
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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 of the biological system. The effectiveness of the proposed algorithm is statistically validated, by means of numerical tests, demonstrating how the a priori knowledge positively affects the reconstruction performance. A further validation is performed through an in silico biological experiment, exploiting the well-assessed cell-cycle model of fission yeast developed by Novak and Tyson

Published in:

Systems Biology, IET  (Volume:1 ,  Issue: 3 )