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Filtering and inference for stochastic oscillators with distributed delays

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Calderazzo, Silvia, Brancaccio, Marco and Finkenstädt, Bärbel (2019) Filtering and inference for stochastic oscillators with distributed delays. Bioinformatics, 35 (8). pp. 1380-1387. doi:10.1093/bioinformatics/bty782

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Official URL: https://doi.org/10.1093/bioinformatics/bty782

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Abstract

The time evolution of molecular species involved in biochemical reaction networks often arises from complex stochastic processes involving many species and reaction events. Inference for such systems is profoundly challenged by the relative sparseness of experimental data, as measurements are often limited to a small subset of the participating species measured at discrete time points. The need for model reduction can be realistically achieved for oscillatory dynamics resulting from negative translational and transcriptional feedback loops by the introduction of probabilistic time-delays. Although this approach yields a simplified model, inference is challenging and subject to ongoing research. The linear noise approximation (LNA) has recently been proposed to address such systems in stochastic form and will be exploited here.

Item Type: Journal Article
Divisions: Faculty of Science > Statistics
SWORD Depositor: Library Publications Router
Journal or Publication Title: Bioinformatics
Publisher: Oxford University Press (OUP)
ISSN: 1460-2059
Official Date: 15 April 2019
Dates:
DateEvent
15 April 2019Published
8 September 2018Available
6 September 2018Accepted
Volume: 35
Number: 8
Page Range: pp. 1380-1387
DOI: 10.1093/bioinformatics/bty782
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access

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