Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle

Michał Jakubczak; Krzysztof Fujarewicz

doi:10.1007/978-3-319-39904-1_11

Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle

Michał Jakubczak
, Krzysztof Fujarewicz

Department of Systems Biology and Engineering (RAU/RAU1)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Age-structured models describe heterogeneous populations of individuals. Life of the individual consist of a finite number of phases, which differ in properties such as the ability to reproduce. This approach allows more realistic modelling of the population growth than using models assuming homogeneity of the population, which is especially important for complex organisms with long reproduction time. The aim of this study was to develop a methodology to estimate parameters of the age-structured model of cell cycle using adjoint sensitivity analysis. Results were obtained for artificially generated input data.

Original language	English
Title of host publication	Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings
Editors	Ewa Piętka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek
Publisher	Springer Verlag
Pages	123-131
Number of pages	9
ISBN (Print)	9783319399034
DOIs	https://doi.org/10.1007/978-3-319-39904-1_11
Publication status	Published - 2016
Event	5th International Conference on Information Technologies in Biomedicine, ITIB 2016 - Kamien Slaski, Poland Duration: 20 Jun 2016 → 22 Jun 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	472
ISSN (Print)	2194-5357

Conference

Conference	5th International Conference on Information Technologies in Biomedicine, ITIB 2016
Country/Territory	Poland
City	Kamien Slaski
Period	20/06/16 → 22/06/16

Keywords

Adjoint sensitivity analysis
Age-structured models
Cell cycle
Parameter estimation

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-39904-1_11

Cite this

Jakubczak, M., & Fujarewicz, K. (2016). Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle. In E. Piętka, P. Badura, J. Kawa, & W. Wieclawek (Eds.), Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings (pp. 123-131). (Advances in Intelligent Systems and Computing; Vol. 472). Springer Verlag. https://doi.org/10.1007/978-3-319-39904-1_11

Jakubczak, Michał ; Fujarewicz, Krzysztof. / Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle. Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. editor / Ewa Piętka ; Pawel Badura ; Jacek Kawa ; Wojciech Wieclawek. Springer Verlag, 2016. pp. 123-131 (Advances in Intelligent Systems and Computing).

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abstract = "Age-structured models describe heterogeneous populations of individuals. Life of the individual consist of a finite number of phases, which differ in properties such as the ability to reproduce. This approach allows more realistic modelling of the population growth than using models assuming homogeneity of the population, which is especially important for complex organisms with long reproduction time. The aim of this study was to develop a methodology to estimate parameters of the age-structured model of cell cycle using adjoint sensitivity analysis. Results were obtained for artificially generated input data.",

keywords = "Adjoint sensitivity analysis, Age-structured models, Cell cycle, Parameter estimation",

author = "Micha{\l} Jakubczak and Krzysztof Fujarewicz",

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Jakubczak, M & Fujarewicz, K 2016, Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle. in E Piętka, P Badura, J Kawa & W Wieclawek (eds), Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. Advances in Intelligent Systems and Computing, vol. 472, Springer Verlag, pp. 123-131, 5th International Conference on Information Technologies in Biomedicine, ITIB 2016, Kamien Slaski, Poland, 20/06/16. https://doi.org/10.1007/978-3-319-39904-1_11

Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle. / Jakubczak, Michał; Fujarewicz, Krzysztof.
Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. ed. / Ewa Piętka; Pawel Badura; Jacek Kawa; Wojciech Wieclawek. Springer Verlag, 2016. p. 123-131 (Advances in Intelligent Systems and Computing; Vol. 472).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle

AU - Jakubczak, Michał

AU - Fujarewicz, Krzysztof

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Age-structured models describe heterogeneous populations of individuals. Life of the individual consist of a finite number of phases, which differ in properties such as the ability to reproduce. This approach allows more realistic modelling of the population growth than using models assuming homogeneity of the population, which is especially important for complex organisms with long reproduction time. The aim of this study was to develop a methodology to estimate parameters of the age-structured model of cell cycle using adjoint sensitivity analysis. Results were obtained for artificially generated input data.

AB - Age-structured models describe heterogeneous populations of individuals. Life of the individual consist of a finite number of phases, which differ in properties such as the ability to reproduce. This approach allows more realistic modelling of the population growth than using models assuming homogeneity of the population, which is especially important for complex organisms with long reproduction time. The aim of this study was to develop a methodology to estimate parameters of the age-structured model of cell cycle using adjoint sensitivity analysis. Results were obtained for artificially generated input data.

KW - Adjoint sensitivity analysis

KW - Age-structured models

KW - Cell cycle

KW - Parameter estimation

UR - https://www.scopus.com/pages/publications/84976517826

U2 - 10.1007/978-3-319-39904-1_11

DO - 10.1007/978-3-319-39904-1_11

M3 - Conference contribution

AN - SCOPUS:84976517826

SN - 9783319399034

T3 - Advances in Intelligent Systems and Computing

SP - 123

EP - 131

BT - Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings

A2 - Piętka, Ewa

A2 - Badura, Pawel

A2 - Kawa, Jacek

A2 - Wieclawek, Wojciech

PB - Springer Verlag

T2 - 5th International Conference on Information Technologies in Biomedicine, ITIB 2016

Y2 - 20 June 2016 through 22 June 2016

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Jakubczak M, Fujarewicz K. Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle. In Piętka E, Badura P, Kawa J, Wieclawek W, editors, Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. Springer Verlag. 2016. p. 123-131. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-39904-1_11

Application of adjoint sensitivity analysis to parameter estimation of age-structured model of cell cycle

Abstract

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Keywords

ASJC Scopus subject areas

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