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 proceedingConference proceeding

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 languageEnglish
Title of host publication2008 International Joint Conference on Neural Networks, IJCNN 2008
Pages3933-3940
Number of pages8
DOIs
Publication statusPublished - 24 Nov 2008
Externally publishedYes
Event2008 International Joint Conference on Neural Networks, IJCNN 2008 - Hong Kong, China
Duration: 1 Jun 20088 Jun 2008

Conference

Conference2008 International Joint Conference on Neural Networks, IJCNN 2008
CountryChina
CityHong Kong
Period1/06/088/06/08

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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    He, F., Brown, M., & Yeung, L. F. (2008). On the complexity - Sensitivity trade-off for the NF-κB pathway modeling. In 2008 International Joint Conference on Neural Networks, IJCNN 2008 (pp. 3933-3940). [4634363] https://doi.org/10.1109/IJCNN.2008.4634363