Path mutual information for a class of biochemical reaction networks.

First Authors
Authors Lorenzo Duso, Christoph Zechner
Corresponding Authors
Last Authors Christoph Zechner
Conference Proceedings Volume Title 2019 IEEE 58th Conference on Decision and Control (CDC)
Series Title
Conference Name 58th IEEE Conference on Decision and Control, CDC 2019
Conference Location Acropolis Convention CentreNice; France
Conference Start Date 2019-12-11
Conference End Date 2019-12-13
Chapter Number
Publisher IEEE
Conference Proceedings Editors Carlos A. Canudas de Wit
ISBN 978-172811398-2
First Page 6610
Last Page 6615
Print Publication Date 2019-12-13
Online Publication Date
Abstract Living cells encode and transmit information in the temporal dynamics of signaling molecules. Gaining a quantitative understanding of how intracellular networks process dynamic signals requires measures that capture the interdependence between complete time trajectories of network components. Mutual information provides such a measure but its calculation in the context of stochastic reaction networks is associated with computational challenges. Here we propose a method to calculate the mutual information between complete time-continuous paths of two molecular species that interact with each other through chemical reactions. We demonstrate our approach using three simple case studies.
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DOI 10.1109/CDC40024.2019.9029316
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Created By thuem
Added Date 2020-05-19
Last Edited By thuem
Last Edited Date 2020-05-20 14:40:44.639
Library ID 7676
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