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A novel identification method is presented, aimed at the reconstruction of biological networks, exploiting a piecewise affine modelling approach. The iterative identification algorithm is based on least squares linear regression. Biological process modelling requires the use of nonlinear descriptions, due to the presence of nonlinear phenomena, such as multiple equilibrium points. On the other hand,...
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