Network Reconstruction with Realistic Models

Grzegorczyk, M., Aderhold, A. and Husmeier, D. (2015) Network Reconstruction with Realistic Models. In: 30th International Workshop on Statistical Modelling, Linz, Austria, 06-10 Jul 2015,

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We extend a recently proposed gradient-matching method for inferring interactions in complex systems described by differential equations in various respects: improved gradient inference, evaluation of the influence of the prior on kinetic parameters, comparative evaluation of two model selection paradigms: marginal likelihood versus DIC (divergence information criterion), comparative evaluation of different numerical procedures for computing the marginal likelihood, extension of the methodology from protein phosphorylation to transcriptional regulation, based on a realistic simulation of the underlying molecular processes with Markov jump processes.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Husmeier, Professor Dirk and Aderhold, Mr Andrej
Authors: Grzegorczyk, M., Aderhold, A., and Husmeier, D.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
Copyright Holders:Copyright © 2015 The Authors
Publisher Policy:Reproduced with the permission of the authors

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