Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method
T. Hernández Rodriguez, C. Posch, J. Schmutzhard, J. Stettner, C. Weihs, R. Pörtner, B. Frahm, Biotechnology and Bioengineering 116 (2019) 2944–2959.
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Hernández Rodriguez, TanjaELSA;
Posch, Christoph;
Schmutzhard, Julia;
Stettner, Josef;
Weihs, Claus;
Pörtner, Ralf;
Frahm, BjörnELSA
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Erscheinungsjahr
Zeitschriftentitel
Biotechnology and Bioengineering
Band
116
Zeitschriftennummer
11
Seite
2944-2959
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eISSN
ELSA-ID
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Hernández Rodriguez T, Posch C, Schmutzhard J, et al. Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method. Biotechnology and Bioengineering. 2019;116(11):2944-2959. doi:10.1002/bit.27125
Hernández Rodriguez, T., Posch, C., Schmutzhard, J., Stettner, J., Weihs, C., Pörtner, R., & Frahm, B. (2019). Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method. Biotechnology and Bioengineering, 116(11), 2944–2959. https://doi.org/10.1002/bit.27125
Hernández Rodriguez T et al. (2019) Predicting Industrial‐scale Cell Culture Seed Trains–A Bayesian Framework for Model Fitting and Parameter Estimation, Dealing with Uncertainty in Measurements and Model Parameters, Applied to a Nonlinear Kinetic Cell Culture Model, Using an MCMC Method. Biotechnology and Bioengineering 116, 2944–2959.
Hernández Rodriguez, Tanja, Christoph Posch, Julia Schmutzhard, Josef Stettner, Claus Weihs, Ralf Pörtner, and Björn Frahm. “Predicting Industrial‐scale Cell Culture Seed Trains–A Bayesian Framework for Model Fitting and Parameter Estimation, Dealing with Uncertainty in Measurements and Model Parameters, Applied to a Nonlinear Kinetic Cell Culture Model, Using an MCMC Method.” Biotechnology and Bioengineering 116, no. 11 (2019): 2944–59. https://doi.org/10.1002/bit.27125.
Hernández Rodriguez, Tanja, Christoph Posch, Julia Schmutzhard, Josef Stettner, Claus Weihs, Ralf Pörtner und Björn Frahm. 2019. Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method. Biotechnology and Bioengineering 116, Nr. 11: 2944–2959. doi:10.1002/bit.27125, .
Hernández Rodriguez, Tanja ; Posch, Christoph ; Schmutzhard, Julia ; Stettner, Josef ; Weihs, Claus ; Pörtner, Ralf ; Frahm, Björn: Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method. In: Biotechnology and Bioengineering Bd. 116, Wiley (2019), Nr. 11, S. 2944–2959
T. Hernández Rodriguez, C. Posch, J. Schmutzhard, J. Stettner, C. Weihs, R. Pörtner, B. Frahm, Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method, Biotechnology and Bioengineering. 116 (2019) 2944–2959.
T. Hernández Rodriguez et al., “Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method,” Biotechnology and Bioengineering, vol. 116, no. 11, pp. 2944–2959, 2019.
Hernández Rodriguez, Tanja, et al. “Predicting Industrial‐scale Cell Culture Seed Trains–A Bayesian Framework for Model Fitting and Parameter Estimation, Dealing with Uncertainty in Measurements and Model Parameters, Applied to a Nonlinear Kinetic Cell Culture Model, Using an MCMC Method.” Biotechnology and Bioengineering, vol. 116, no. 11, Wiley, 2019, pp. 2944–59, doi:10.1002/bit.27125.
Hernández Rodriguez, Tanja et. al. (2019): Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method, in: Biotechnology and Bioengineering 116 (11), S. 2944–2959.
Hernández Rodriguez T, Posch C, Schmutzhard J, Stettner J, Weihs C, Pörtner R, et al. Predicting industrial‐scale cell culture seed trains–A Bayesian framework for model fitting and parameter estimation, dealing with uncertainty in measurements and model parameters, applied to a nonlinear kinetic cell culture model, using an MCMC method. Biotechnology and Bioengineering. 2019;116(11):2944–59.
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