On the complexity - Sensitivity trade-off for the NF-κB pathway modeling

Fei He; Martin Brown; Lam Fat Yeung

doi:10.1109/IJCNN.2008.4634363

On the complexity - Sensitivity trade-off for the NF-κB pathway modeling

Fei He, Martin Brown, Lam Fat Yeung

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

Abstract

An important aspect of systems biology research is the so-called "reverse engineering" of cellular metabolic dynamics from measured input-output data. This allows researchers to estimate and validate both the pathway's structure as well as the kinetic constants. In this paper, a regularization based method which performs model structure selection is developed and applied to the problem of analyzing how existing pathway knowledge can be used as a prior investigate the model change complexity/sensitivity trade-off. Specifically, a 1-norm prior on parameter deviations from an existing model of the IκB-NF-κB pathway is combined with new experimental data and an analysis is performed to determine which are the most relevant components to alter.

Original language	English
Title of host publication	2008 International Joint Conference on Neural Networks, IJCNN 2008
Pages	3933-3940
Number of pages	8
DOIs	https://doi.org/10.1109/IJCNN.2008.4634363
Publication status	Published - 24 Nov 2008
Externally published	Yes
Event	2008 International Joint Conference on Neural Networks, IJCNN 2008 - Hong Kong, China Duration: 1 Jun 2008 → 8 Jun 2008

Conference

Conference	2008 International Joint Conference on Neural Networks, IJCNN 2008
Country/Territory	China
City	Hong Kong
Period	1/06/08 → 8/06/08

ASJC Scopus subject areas

Software
Artificial Intelligence

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10.1109/IJCNN.2008.4634363

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title = "On the complexity - Sensitivity trade-off for the NF-κB pathway modeling",

abstract = "An important aspect of systems biology research is the so-called {"}reverse engineering{"} of cellular metabolic dynamics from measured input-output data. This allows researchers to estimate and validate both the pathway's structure as well as the kinetic constants. In this paper, a regularization based method which performs model structure selection is developed and applied to the problem of analyzing how existing pathway knowledge can be used as a prior investigate the model change complexity/sensitivity trade-off. Specifically, a 1-norm prior on parameter deviations from an existing model of the IκB-NF-κB pathway is combined with new experimental data and an analysis is performed to determine which are the most relevant components to alter.",

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AU - Yeung, Lam Fat

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N2 - An important aspect of systems biology research is the so-called "reverse engineering" of cellular metabolic dynamics from measured input-output data. This allows researchers to estimate and validate both the pathway's structure as well as the kinetic constants. In this paper, a regularization based method which performs model structure selection is developed and applied to the problem of analyzing how existing pathway knowledge can be used as a prior investigate the model change complexity/sensitivity trade-off. Specifically, a 1-norm prior on parameter deviations from an existing model of the IκB-NF-κB pathway is combined with new experimental data and an analysis is performed to determine which are the most relevant components to alter.

AB - An important aspect of systems biology research is the so-called "reverse engineering" of cellular metabolic dynamics from measured input-output data. This allows researchers to estimate and validate both the pathway's structure as well as the kinetic constants. In this paper, a regularization based method which performs model structure selection is developed and applied to the problem of analyzing how existing pathway knowledge can be used as a prior investigate the model change complexity/sensitivity trade-off. Specifically, a 1-norm prior on parameter deviations from an existing model of the IκB-NF-κB pathway is combined with new experimental data and an analysis is performed to determine which are the most relevant components to alter.

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DO - 10.1109/IJCNN.2008.4634363

M3 - Conference proceeding

AN - SCOPUS:56349096408

SN - 978-1-4244-1820-6

SP - 3933

EP - 3940

BT - 2008 International Joint Conference on Neural Networks, IJCNN 2008

T2 - 2008 International Joint Conference on Neural Networks, IJCNN 2008

Y2 - 1 June 2008 through 8 June 2008

ER -

On the complexity - Sensitivity trade-off for the NF-κB pathway modeling

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