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T Maiwald

Showing results (1-10 of 10) with videos related to

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Bioinformatics (Oxford, England)|July 31, 2007
Data-based identifiability analysis of non-linear dynamical modelsS Hengl, C Kreutz, J Timmer, et al.
IET Systems Biology|March 17, 2011
Addressing parameter identifiability by model-based experimentationA Raue, C Kreutz, T Maiwald, et al.
Bioinformatics (Oxford, England)|June 10, 2009
Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihoodA Raue, C Kreutz, T Maiwald, et al.
Systems Biology|September 22, 2006
Quantitative data generation for systems biology: the impact of randomisation, calibrators and normalisersM Schilling, T Maiwald, S Bohl, et al.
Brain : a Journal of Neurology|September 25, 2003
How well can epileptic seizures be predicted? An evaluation of a nonlinear methodR Aschenbrenner-Scheibe, T Maiwald, M Winterhalder, et al.
Epilepsy & Behavior : E&B|June 7, 2003
The seizure prediction characteristic: a general framework to assess and compare seizure prediction methodsM Winterhalder, T Maiwald, H U Voss, et al.
Medical Engineering & Physics|February 27, 2004
Aperiodic flow-induced oscillations of collapsible tubes: a critical reappraisalC D Bertram, J Timmer, T G Müller, et al.
Bioinformatics (Oxford, England)|September 5, 2007
An error model for protein quantificationC Kreutz, M M Bartolome Rodriguez, T Maiwald, et al.
Bioinformatics (Oxford, England)|July 5, 2015
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systemsA Raue, B Steiert, M Schelker, et al.
Systems Biology|December 26, 2006
Primary mouse hepatocytes for systems biology approaches: a standardized in vitro system for modelling of signal transduction pathwaysU Klingmüller, A Bauer, S Bohl, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|July 31, 2007
Data-based identifiability analysis of non-linear dynamical modelsS Hengl, C Kreutz, J Timmer, et al.
IET Systems Biology|March 17, 2011
Addressing parameter identifiability by model-based experimentationA Raue, C Kreutz, T Maiwald, et al.
Bioinformatics (Oxford, England)|June 10, 2009
Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihoodA Raue, C Kreutz, T Maiwald, et al.
Systems Biology|September 22, 2006
Quantitative data generation for systems biology: the impact of randomisation, calibrators and normalisersM Schilling, T Maiwald, S Bohl, et al.
Brain : a Journal of Neurology|September 25, 2003
How well can epileptic seizures be predicted? An evaluation of a nonlinear methodR Aschenbrenner-Scheibe, T Maiwald, M Winterhalder, et al.
Epilepsy & Behavior : E&B|June 7, 2003
The seizure prediction characteristic: a general framework to assess and compare seizure prediction methodsM Winterhalder, T Maiwald, H U Voss, et al.
Medical Engineering & Physics|February 27, 2004
Aperiodic flow-induced oscillations of collapsible tubes: a critical reappraisalC D Bertram, J Timmer, T G Müller, et al.
Bioinformatics (Oxford, England)|September 5, 2007
An error model for protein quantificationC Kreutz, M M Bartolome Rodriguez, T Maiwald, et al.
Bioinformatics (Oxford, England)|July 5, 2015
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systemsA Raue, B Steiert, M Schelker, et al.
Systems Biology|December 26, 2006
Primary mouse hepatocytes for systems biology approaches: a standardized in vitro system for modelling of signal transduction pathwaysU Klingmüller, A Bauer, S Bohl, et al.
Pageof 1