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,

Abstract

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
• Status: Published
• Refereed: Yes
• 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