Looking for a missing link in the network

L.J. Astola, S. Mourik, van, J. Molenaar

    Research output: Contribution to conferencePoster

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    We consider the problem of inferring a biological network from given experimental data. In earlier work on metabolic pathway inference, we studied a situation where the molecular interactions were fairly well known, the kinetic parameters were completely unknown and the network topology was almost known. Starting from a similar setting, using simulations, we have investigated the inference of missing links in a network. We use two approaches, a deterministic one using ordinary differential equations and one employing a statistical approach. We find that the deterministic fit-based approach yields quite positive results in linear as well as in a non-linear context.
    Original languageEnglish
    Publication statusPublished - 2013

    Bibliographical note

    Proceedings of the 10th International Workshop on Computational Systems Biology (WCSB 2013), 10-12 June 2013, Tampere, Finland


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