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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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WRAP-filtering-inference-stochastic-oscillators-distributed-delays-Calderazzo-2019.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (952Kb) | Preview |
Official URL: https://doi.org/10.1093/bioinformatics/bty782
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 | ||||||||
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| 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: |
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| 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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