{"date_created":"2020-05-19T14:29:12Z","date_updated":"2023-03-15T13:49:39Z","language":[{"iso":"eng"}],"title":"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","type":"scientific_journal_article","citation":{"havard":"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.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Hernández Rodriguez, Tanja</span> ; <span style=\"font-variant:small-caps;\">Posch, Christoph</span> ; <span style=\"font-variant:small-caps;\">Schmutzhard, Julia</span> ; <span style=\"font-variant:small-caps;\">Stettner, Josef</span> ; <span style=\"font-variant:small-caps;\">Weihs, Claus</span> ; <span style=\"font-variant:small-caps;\">Pörtner, Ralf</span> ; <span style=\"font-variant:small-caps;\">Frahm, Björn</span>: 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: <i>Biotechnology and Bioengineering</i> Bd. 116, Wiley (2019), Nr. 11, S. 2944–2959","ama":"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. <i>Biotechnology and Bioengineering</i>. 2019;116(11):2944-2959. doi:<a href=\"https://doi.org/10.1002/bit.27125\">10.1002/bit.27125</a>","ufg":"<b>Hernández Rodriguez, Tanja et. al. (2019)</b>: 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: <i>Biotechnology and Bioengineering</i> <i>116</i> (<i>11</i>), S. 2944–2959.","van":"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.","apa":"Hernández Rodriguez, T., Posch, C., Schmutzhard, J., Stettner, J., Weihs, C., Pörtner, R., &#38; 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. <i>Biotechnology and Bioengineering</i>, <i>116</i>(11), 2944–2959. <a href=\"https://doi.org/10.1002/bit.27125\">https://doi.org/10.1002/bit.27125</a>","bjps":"<b>Hernández Rodriguez T <i>et al.</i></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. <i>Biotechnology and Bioengineering</i> <b>116</b>, 2944–2959.","chicago":"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.” <i>Biotechnology and Bioengineering</i> 116, no. 11 (2019): 2944–59. <a href=\"https://doi.org/10.1002/bit.27125\">https://doi.org/10.1002/bit.27125</a>.","short":"T. Hernández Rodriguez, C. Posch, J. Schmutzhard, J. Stettner, C. Weihs, R. Pörtner, B. Frahm, Biotechnology and Bioengineering 116 (2019) 2944–2959.","chicago-de":"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. <i>Biotechnology and Bioengineering</i> 116, Nr. 11: 2944–2959. doi:<a href=\"https://doi.org/10.1002/bit.27125,\">10.1002/bit.27125,</a> .","mla":"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.” <i>Biotechnology and Bioengineering</i>, vol. 116, no. 11, Wiley, 2019, pp. 2944–59, doi:<a href=\"https://doi.org/10.1002/bit.27125\">10.1002/bit.27125</a>.","ieee":"T. Hernández Rodriguez <i>et al.</i>, “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,” <i>Biotechnology and Bioengineering</i>, vol. 116, no. 11, pp. 2944–2959, 2019."},"main_file_link":[{"open_access":"1","url":"https://onlinelibrary.wiley.com/doi/10.1002/bit.27125"}],"status":"public","quality_controlled":"1","publication_status":"published","year":2019,"_id":"2391","intvolume":"       116","user_id":"45666","page":"2944-2959","doi":"10.1002/bit.27125","publisher":"Wiley","department":[{"_id":"DEP4021"}],"issue":"11","author":[{"first_name":"Tanja","last_name":"Hernández Rodriguez","full_name":"Hernández Rodriguez, Tanja","id":"52466"},{"last_name":"Posch","first_name":"Christoph","full_name":"Posch, Christoph"},{"last_name":"Schmutzhard","first_name":"Julia","full_name":"Schmutzhard, Julia"},{"last_name":"Stettner","first_name":"Josef","full_name":"Stettner, Josef"},{"first_name":"Claus","last_name":"Weihs","full_name":"Weihs, Claus"},{"full_name":"Pörtner, Ralf","first_name":"Ralf","last_name":"Pörtner"},{"last_name":"Frahm","first_name":"Björn","id":"45666","full_name":"Frahm, Björn"}],"publication":"Biotechnology and Bioengineering","publication_identifier":{"eissn":["1097-0290"],"issn":["0006-3592"]},"oa":"1","volume":116}