ABSTRACT: Experimental design for cellular networks based on sensitivity analysis is studied in this work. Both optimal and robust experimental design strategies are developed for the IκB-NF-κB signal transduction model. Based on local sensitivity analysis, the initial IKK intensity is calculated using an optimal experimental design process, and several scalarizationmeasures of the Fisher informationmatrix are compared. Global sensitivity analysis and robust experimental design techniques are then developed to consider parametric uncertainties in the model. The modified Morris method is employed in global sensitivity analysis, and a semidefinite programmingmethod is exploited to implement the robust experimental design for theproblem of mea...
Mathematical models for signaling pathways are helpful for understanding molecular mechanism in the ...
The dynamic behaviors of cell system were deep ly affected by structural complexity of cell signal t...
Due to the high nonlinearity in system models, the large number of kinetics parameters involved, the...
Experimental design for cellular networks based on sensitivity analysis is studied in this work. Bot...
Due to the general lack of experimental data for biochemical pathway model identification, cell-leve...
Mathematical modelling offers a variety of useful techniques to help in understanding the intrinsic ...
Cell signal transduction network structure and dynamics of complex uncertain parameters affect the d...
Based on a simplified model of the (TNF-α mediated) IκBα-NF-κB signal transduction pathway, global s...
Sensitivity analysis is normally used to analyze how sensitive a system is with respect to the chang...
In order to understand the complexity of cellular signaling pathways as nonlinear autonomous systems...
A model reduction method based on global sensitivity analysis (GSA) is proposed in this paper and ap...
Mathematical modeling and dynamic simulation of signal transduction pathways is a central theme in s...
Mathematical modeling and dynamic simulation of signal transduction pathways is a central theme in s...
Mathematical models for signaling pathways are helpful for understanding molecular mechanism in the ...
The dynamic behaviors of cell system were deep ly affected by structural complexity of cell signal t...
Due to the high nonlinearity in system models, the large number of kinetics parameters involved, the...
Experimental design for cellular networks based on sensitivity analysis is studied in this work. Bot...
Due to the general lack of experimental data for biochemical pathway model identification, cell-leve...
Mathematical modelling offers a variety of useful techniques to help in understanding the intrinsic ...
Cell signal transduction network structure and dynamics of complex uncertain parameters affect the d...
Based on a simplified model of the (TNF-α mediated) IκBα-NF-κB signal transduction pathway, global s...
Sensitivity analysis is normally used to analyze how sensitive a system is with respect to the chang...
In order to understand the complexity of cellular signaling pathways as nonlinear autonomous systems...
A model reduction method based on global sensitivity analysis (GSA) is proposed in this paper and ap...
Mathematical modeling and dynamic simulation of signal transduction pathways is a central theme in s...
Mathematical modeling and dynamic simulation of signal transduction pathways is a central theme in s...
Mathematical models for signaling pathways are helpful for understanding molecular mechanism in the ...
The dynamic behaviors of cell system were deep ly affected by structural complexity of cell signal t...
Due to the high nonlinearity in system models, the large number of kinetics parameters involved, the...