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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.
Hernández Rodríguez, Tanja; Posch, Christoph; Schmutzhard, Julia; Stettner, Josef; Weihs, Claus; Pörtner, Ralf; Frahm, Björn.
Affiliation
  • Hernández Rodríguez T; Biotechnology & Bioprocess Engineering, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany.
  • Posch C; Novartis Technical Research & Development, Sandoz GmbH, Langkampfen, Austria.
  • Schmutzhard J; Novartis Technical Research & Development, Sandoz GmbH, Langkampfen, Austria.
  • Stettner J; Novartis Technical Research & Development, Sandoz GmbH, Langkampfen, Austria.
  • Weihs C; Faculty of Statistics, TU Dortmund University, Dortmund, Germany.
  • Pörtner R; Institute for Bioprocess- and Biosystems Engineering, Hamburg University of Technology, Germany.
  • Frahm B; Biotechnology & Bioprocess Engineering, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany.
Biotechnol Bioeng ; 116(11): 2944-2959, 2019 11.
Article in En | MEDLINE | ID: mdl-31347693
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Biotechnol Bioeng Year: 2019 Type: Article Affiliation country: Germany
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Models, Biological Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Biotechnol Bioeng Year: 2019 Type: Article Affiliation country: Germany