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Then, importance indices were determined by global sensitivity analysis.
The effects of different parameters on transmembrane flux and temperature polarization coefficient (TPC) were measured by global sensitivity analysis technique.
The most influential parameters are first selected by global sensitivity analysis and then estimated in a Bayesian framework.
This complicated input output relation can be analyzed by global sensitivity analysis; however, this usually requires massive Monte Carlo simulations.
This problem can be addressed if the sensitivity matrix, used in experimental design, could be computed by global sensitivity analysis techniques rather than local sensitivity analysis methods.
The relevance of specific weather/grid uncertain factors is highlighted by global sensitivity analysis and the importance of dealing with imprecision in the information clearly emerges.
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Potential individual control points for longer-term AP-1 activation are less clear due to the significant presence of interactions among sensitive reaction mechanisms as identified by the global sensitivity analysis.
It begins first by constructing a probability-based agent simulation model, followed by a global sensitivity analysis and a genetic algorithm-based calibration.
Moreover, the assessment is complemented by a global sensitivity analysis for variations in the operating parameters set by the transmission system operator.
The most effective parameters in model performance are identified by a global sensitivity analysis technique named modified Fourier Amplitude Sensitivity Test (FAST) which can incorporate parameter interdependencies.
The results reveal that, by using global sensitivity analysis, the parameters could be ranked with respect to their importance, including first order indices and total sensitivity indices.
More suggestions(11)
by global transcriptome analysis
by extensive sensitivity analysis
by global eQTL analysis
by global affine analysis
by further sensitivity analysis
by global transcript analysis
by global pathway analysis
by global proteome analysis
by trajectory sensitivity analysis
by global alignment analysis
by global expression analysis
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