Identification and identifiability of models of cell signalling pathways

Krzysztof Fujarewicz; Marek Kimmel; Andrzej Świerniak

Identification and identifiability of models of cell signalling pathways

Department of Systems Biology and Engineering (RAU/RAU1)

Rice University

Research output: Contribution to journal › Article › peer-review

Abstract

The dynamical behaviour of a cell signalling pathway may be described by means of a set of nonlinear ordinary differential equations. The data for parameter estimation are collected only at discrete time moments that are relatively rare. We show a gradient-based algorithm for parameter estimation. We also present some considerations about identifiability of cell signalling pathways. The approach is illustrated on a model of NFKB transcription factor pathway.

Original language	English
Pages (from-to)	91-94
Number of pages	4
Journal	Przeglad Elektrotechniczny
Volume	84
Issue number	5
Publication status	Published - 2008

Keywords

Cell signalling pathways
Identifiability
Nonlinear differential equations
Parameter estimation

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Identification and identifiability of models of cell signalling pathways",

abstract = "The dynamical behaviour of a cell signalling pathway may be described by means of a set of nonlinear ordinary differential equations. The data for parameter estimation are collected only at discrete time moments that are relatively rare. We show a gradient-based algorithm for parameter estimation. We also present some considerations about identifiability of cell signalling pathways. The approach is illustrated on a model of NFKB transcription factor pathway.",

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AU - Fujarewicz, Krzysztof

AU - Kimmel, Marek

AU - Świerniak, Andrzej

PY - 2008

Y1 - 2008

N2 - The dynamical behaviour of a cell signalling pathway may be described by means of a set of nonlinear ordinary differential equations. The data for parameter estimation are collected only at discrete time moments that are relatively rare. We show a gradient-based algorithm for parameter estimation. We also present some considerations about identifiability of cell signalling pathways. The approach is illustrated on a model of NFKB transcription factor pathway.

AB - The dynamical behaviour of a cell signalling pathway may be described by means of a set of nonlinear ordinary differential equations. The data for parameter estimation are collected only at discrete time moments that are relatively rare. We show a gradient-based algorithm for parameter estimation. We also present some considerations about identifiability of cell signalling pathways. The approach is illustrated on a model of NFKB transcription factor pathway.

KW - Cell signalling pathways

KW - Identifiability

KW - Nonlinear differential equations

KW - Parameter estimation

UR - https://www.scopus.com/pages/publications/43649093111

M3 - Article

AN - SCOPUS:43649093111

SN - 0033-2097

VL - 84

SP - 91

EP - 94

JO - Przeglad Elektrotechniczny

JF - Przeglad Elektrotechniczny

IS - 5

ER -

Identification and identifiability of models of cell signalling pathways

Abstract

Keywords

ASJC Scopus subject areas

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