Abstract
The network inference method presented in this chapter is inspired by the theory of time-lagged correlation inference, and uses a maximum likelihood approach with regard to the estimation of the kinetic parameters of the network. Both network inference and parameter estimation have been designed specifically to identify systems of biotransformations from noisy time-resolved experimental data.
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