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Application of Global Sensitivity Analysis to Determine Goals for Design of Experiments: An Example Study on Antibody-Producing Cell Cultures
5 references·4 citing·23 second hop
Application of Global Sensitivity Analysis to Determine Goals for Design of Experiments: An Example Study on Antibody-Producing Cell Cultures (2005)Application of Global Sensitivity Analysi…Designing robust optimal dynamic experiments (2002)Designing robust optimal dyna…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Optimal Experimental Design for Parameter Estimation in Unstructured Growth Models (1994)Optimal Experimental Design f…Nonlinear sensitivity analysis of multiparameter model systems (1978)Nonlinear sensitivity analysi…Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory (1973)Study of the sensitivity of c…Model‐based design of experiments for cellular processes (2013)Model‐based design of experim…Application of global sensitivity analysis to biological models (2008)Application of global sensiti…Sampling Techniques (2007)Sampling TechniquesOptimal experimental design based on global sensitivity analysis (2007)Optimal experimental design b…An alternative way to compute Fourier amplitude sensitivity test (FAST) (1998)DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS (1959)Optimum Designs in Regression Problems (1959)Experiment selection for the discrimination of semi-quantitative models of dynamical systems (2005)Model-Based Design of Parallel Experiments (2007)Computational procedures for optimal experimental design in biological systems (2008)Design of Experiments (1936)Bayesian Experimental Design: A Review (1995)Design and Analysis of Experiments (1998)Deep reinforcement learning for optimal experimental design in biology (2022)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Investment under Uncertainty (1994)Introduction to Stochastic Programming (1998)Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal (1993)Analysis of variance designs for model output (1999)Model-based design of experiments for parameter precision: State of the art (2007)Optimal experimental design with the sigma point method (2009)Online optimal experimental re‐design in robotic parallel fed‐batch cultivation facilities (2016)A new uncertainty importance measure (2006)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)SALib: An open-source Python library for Sensitivity Analysis (2017)Identification and Review of Sensitivity Analysis Methods (2002)Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach (2004)
this work references cited by second hop

References

  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 1973Study of the sensitivity of coupled reaction systems to uncertainties in rate coefficients. I Theory1,041 cited
  • 1978Nonlinear sensitivity analysis of multiparameter model systems696 cited
  • 2002Designing robust optimal dynamic experiments199 cited
  • 1994Optimal Experimental Design for Parameter Estimation in Unstructured Growth Models134 cited

Cited by

  • 2013Model‐based design of experiments for cellular processes52 cited
  • 2007Optimal experimental design based on global sensitivity analysis33 cited
  • 2008Application of global sensitivity analysis to biological models11 cited
  • 2007Sampling Techniques8 cited

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