Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/26753

Title: Genetic Algorithms for Parameter Estimation in Circadian Model
Authors: Janeiro, Fernando M.
Vo Tan, Phuoc
Ton That, Long
Nguyen Thai, Chau
Editors: Vo Van, T.
Nguyen Le, T.
Nguyen Duc, T.
Keywords: Biological system
Genetic algorithms
Parameter estimation
Circadian clock
Circadian system
Issue Date: 2018
Publisher: Springer Link
Citation: Janerio F.M., Vo Tan P., Ton That L., Nguyen Thai C. (2018) Genetic Algorithms for Parameter Estimation in Circadian Model. In: Vo Van T., Nguyen Le T., Nguyen Duc T. (eds) 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6). BME 2017. IFMBE Proceedings, vol 63. Springer, Singapore
Abstract: This paper proposes an algorithm to estimate two parameter values vs, transcription of frq gene, and vd, maximum rate of FRQ protein degradation for an existing 3rd order Neurospora model in literature. Details of the algorithm with simulation results are shown in this paper.
URI: http://hdl.handle.net/10174/26753
ISBN: 978-981-10-4360-4
Type: article
Appears in Collections:FIS - Artigos em Livros de Actas/Proceedings
CEM - Artigos em Livros de Actas/Proceedings

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