L1 and L2 norms in sensitivity analysis of signaling pathway models

Malgorzata Kardynska; Jaroslaw Smieja

doi:10.1109/MMAR.2016.7575202

L¹ and L² norms in sensitivity analysis of signaling pathway models

Katedra Inżynierii i Biologii Systemów (RAU/RAU1)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

3 Cytowania z bazy Scopus

Abstrakt

Sensitivity methods have been originally developed for analysis of technical systems and recently have gained increasing importance in systems biology. Among others, they provide means to rank parameters of mathematical models describing complex systems, according to their influence on system behavior. Parameter rankings can be derived using different sensitivity measures. This paper is focused on two types of norms, most often used in such analysis. Using simple, illustrative dynamical models as well as models of signaling pathways, it shows how much the results of sensitivity analysis depend on the choice of the norm.

Język oryginału	angielski
Tytuł publikacji goszczącej	2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
Wydawca	Institute of Electrical and Electronics Engineers Inc.
Strony	589-594
Liczba stron	6
ISBN (elektroniczny)	9781509018666
Identyfikatory DOI	https://doi.org/10.1109/MMAR.2016.7575202
Status publikacji	Opublikowano - 22 wrz 2016
Wydarzenie	21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016 - Miedzyzdroje, Polska Czas trwania: 29 sie 2016 → 1 wrz 2016

Seria publikacji

Nazwa	2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016

Konferencja

Konferencja	21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
Kraj/Terytorium	Polska
Miejscowość	Miedzyzdroje
Okres	29/08/16 → 1/09/16

Obszary tematyczne ASJC Scopus

Sterowanie i optymalizacja
Inżynieria sterowania i systemów
Sztuczna inteligencja

Uzyskaj dostęp do dokumentu

10.1109/MMAR.2016.7575202

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Kardynska, M., & Smieja, J. (2016). L¹ and L² norms in sensitivity analysis of signaling pathway models. W 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016 (str. 589-594). Artykułu 7575202 (2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MMAR.2016.7575202

Kardynska, Malgorzata ; Smieja, Jaroslaw. / L¹ and L² norms in sensitivity analysis of signaling pathway models. 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016. Institute of Electrical and Electronics Engineers Inc., 2016. str. 589-594 (2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016).

@inproceedings{e19eaa4a2a74429eaa3e3c99b6446be2,

title = "L1 and L2 norms in sensitivity analysis of signaling pathway models",

abstract = "Sensitivity methods have been originally developed for analysis of technical systems and recently have gained increasing importance in systems biology. Among others, they provide means to rank parameters of mathematical models describing complex systems, according to their influence on system behavior. Parameter rankings can be derived using different sensitivity measures. This paper is focused on two types of norms, most often used in such analysis. Using simple, illustrative dynamical models as well as models of signaling pathways, it shows how much the results of sensitivity analysis depend on the choice of the norm.",

author = "Malgorzata Kardynska and Jaroslaw Smieja",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016 ; Conference date: 29-08-2016 Through 01-09-2016",

year = "2016",

month = sep,

day = "22",

doi = "10.1109/MMAR.2016.7575202",

language = "English",

series = "2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016",

address = "United States",

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Kardynska, M & Smieja, J 2016, L¹ and L² norms in sensitivity analysis of signaling pathway models. w 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016., 7575202, 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, Institute of Electrical and Electronics Engineers Inc., str. 589-594, 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, Miedzyzdroje, Polska, 29/08/16. https://doi.org/10.1109/MMAR.2016.7575202

L¹ and L² norms in sensitivity analysis of signaling pathway models. / Kardynska, Malgorzata ; Smieja, Jaroslaw.
2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016. Institute of Electrical and Electronics Engineers Inc., 2016. str. 589-594 7575202 (2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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N2 - Sensitivity methods have been originally developed for analysis of technical systems and recently have gained increasing importance in systems biology. Among others, they provide means to rank parameters of mathematical models describing complex systems, according to their influence on system behavior. Parameter rankings can be derived using different sensitivity measures. This paper is focused on two types of norms, most often used in such analysis. Using simple, illustrative dynamical models as well as models of signaling pathways, it shows how much the results of sensitivity analysis depend on the choice of the norm.

AB - Sensitivity methods have been originally developed for analysis of technical systems and recently have gained increasing importance in systems biology. Among others, they provide means to rank parameters of mathematical models describing complex systems, according to their influence on system behavior. Parameter rankings can be derived using different sensitivity measures. This paper is focused on two types of norms, most often used in such analysis. Using simple, illustrative dynamical models as well as models of signaling pathways, it shows how much the results of sensitivity analysis depend on the choice of the norm.

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Kardynska M , Smieja J. L¹ and L² norms in sensitivity analysis of signaling pathway models. W 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016. Institute of Electrical and Electronics Engineers Inc. 2016. str. 589-594. 7575202. (2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016). doi: 10.1109/MMAR.2016.7575202