---
_id: '2391'
author:
- first_name: Tanja
full_name: Hernández Rodriguez, Tanja
id: '52466'
last_name: Hernández Rodriguez
- first_name: Christoph
full_name: Posch, Christoph
last_name: Posch
- first_name: Julia
full_name: Schmutzhard, Julia
last_name: Schmutzhard
- first_name: Josef
full_name: Stettner, Josef
last_name: Stettner
- first_name: Claus
full_name: Weihs, Claus
last_name: Weihs
- first_name: Ralf
full_name: Pörtner, Ralf
last_name: Pörtner
- first_name: Björn
full_name: Frahm, Björn
id: '45666'
last_name: Frahm
citation:
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. Biotechnology
and Bioengineering. 2019;116(11):2944-2959. doi:10.1002/bit.27125
apa: 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
bjps: 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.
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.” Biotechnology
and Bioengineering 116, no. 11 (2019): 2944–59. https://doi.org/10.1002/bit.27125.'
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. Biotechnology
and Bioengineering 116, Nr. 11: 2944–2959. doi:10.1002/bit.27125,
.'
din1505-2-1: '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'
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.
ieee: 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.
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.” Biotechnology and Bioengineering,
vol. 116, no. 11, Wiley, 2019, pp. 2944–59, doi:10.1002/bit.27125.
short: T. Hernández Rodriguez, C. Posch, J. Schmutzhard, J. Stettner, C. Weihs,
R. Pörtner, B. Frahm, Biotechnology and Bioengineering 116 (2019) 2944–2959.
ufg: '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.'
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.
date_created: 2020-05-19T14:29:12Z
date_updated: 2023-03-15T13:49:39Z
department:
- _id: DEP4021
doi: 10.1002/bit.27125
intvolume: ' 116'
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://onlinelibrary.wiley.com/doi/10.1002/bit.27125
oa: '1'
page: 2944-2959
publication: Biotechnology and Bioengineering
publication_identifier:
eissn:
- 1097-0290
issn:
- 0006-3592
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
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
user_id: '45666'
volume: 116
year: 2019
...