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What can we learn from global sensitivity analysis of biochemical systems?

What can we learn from global sensitivity analysis of biochemical systems?

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Sobol Sensitivity Analysis: A Tool to Guide the Development and Evaluation of Systems Pharmacology Models Fitting Transporter Activities to Cellular Drug Concentrations and Fluxes: Why the Bumblebee Can Fly A Neutrophil Phenotype Model for Extracorporeal Treatment of Sepsis Metabolic regulation is sufficient for global and robust coordination of glucose uptake, catabolism, energy production and growth in Escherichia coli.Systems modelling ageing: from single senescent cells to simple multi-cellular models.Targeting glycolysis in the malaria parasite Plasmodium falciparum.Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism.'Molecular habituation' as a potential mechanism of gradual homeostatic loss with age.A State-Based Sensitivity Analysis for Distinguishing the Global Importance of Predictor Variables in Artificial Neural Networks

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What can we learn from global sensitivity analysis of biochemical systems?

http://www.wikidata.org/entity/Q28535142

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What can we learn from global sensitivity analysis of biochemical systems?

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What can we learn from global sensitivity analysis of biochemical systems?

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What can we learn from global sensitivity analysis of biochemical systems?

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What can we learn from global sensitivity analysis of biochemical systems?

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What can we learn from global sensitivity analysis of biochemical systems?

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What can we learn from global sensitivity analysis of biochemical systems?

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What can we learn from global sensitivity analysis of biochemical systems?

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What can we learn from global sensitivity analysis of biochemical systems?

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Edward Kent

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Stefan Neumann

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Ursula Kummer

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Condor-COPASI: high-throughput computing for biochemical networks

Integrative analysis of cell cycle control in budding yeast

Ultrasensitivity in the mitogen-activated protein kinase cascade

BioModels Database: a free, centralized database of curated, published, quantitative kinetic models of biochemical and cellular systems.

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models

The control of flux

A linear steady-state treatment of enzymatic chains. General properties, control and effector strength

Quantifying global tolerance of biochemical systems: design implications for moiety-transfer cycles

Dynamic modelling under uncertainty: the case of Trypanosoma brucei energy metabolism

COPASI--a COmplex PAthway SImulator

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