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Jan Hasenauer

Showing results (1-10 of 155) with videos related to

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Bioinformatics (Oxford, England)|May 7, 2016
Analysis of CFSE time-series data using division-, age- and label-structured population modelsSabrina Hross, Jan Hasenauer
Plos One|May 22, 2023
Informative and adaptive distances and summary statistics in sequential approximate Bayesian computationYannik Schälte, Jan Hasenauer
Journal of Mathematical Biology|May 22, 2025
A stochastic modelling framework for cancer patient trajectories: combining tumour growth, metastasis, and survivalVincent Wieland, Jan Hasenauer
Journal of Theoretical Biology|December 24, 2019
Robust calibration of hierarchical population models for heterogeneous cell populationsCarolin Loos, Jan Hasenauer
Bioinformatics (Oxford, England)|July 14, 2020
Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computationYannik Schälte, Jan Hasenauer
Bioinformatics (Oxford, England)|July 17, 2018
Hierarchical optimization for the efficient parametrization of ODE modelsCarolin Loos, Sabrina Krause, Jan Hasenauer
Bioinformatics (Oxford, England)|July 14, 2021
Efficient gradient-based parameter estimation for dynamic models using qualitative dataLeonard Schmiester, Daniel Weindl, Jan Hasenauer
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Scalable Inference of Ordinary Differential Equation Models of Biochemical ProcessesFabian Fröhlich, Carolin Loos, Jan Hasenauer
Plos Computational Biology|June 17, 2024
Missing data in amortized simulation-based neural posterior estimationZijian Wang, Jan Hasenauer, Yannik Schälte
Journal of Mathematical Biology|July 23, 2020
Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approachLeonard Schmiester, Daniel Weindl, Jan Hasenauer
Pageof 16

Showing results (1-10 of 155) with videos related to

Sort By:
Pageof 16
Bioinformatics (Oxford, England)|May 7, 2016
Analysis of CFSE time-series data using division-, age- and label-structured population modelsSabrina Hross, Jan Hasenauer
Plos One|May 22, 2023
Informative and adaptive distances and summary statistics in sequential approximate Bayesian computationYannik Schälte, Jan Hasenauer
Journal of Mathematical Biology|May 22, 2025
A stochastic modelling framework for cancer patient trajectories: combining tumour growth, metastasis, and survivalVincent Wieland, Jan Hasenauer
Journal of Theoretical Biology|December 24, 2019
Robust calibration of hierarchical population models for heterogeneous cell populationsCarolin Loos, Jan Hasenauer
Bioinformatics (Oxford, England)|July 14, 2020
Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computationYannik Schälte, Jan Hasenauer
Bioinformatics (Oxford, England)|July 17, 2018
Hierarchical optimization for the efficient parametrization of ODE modelsCarolin Loos, Sabrina Krause, Jan Hasenauer
Bioinformatics (Oxford, England)|July 14, 2021
Efficient gradient-based parameter estimation for dynamic models using qualitative dataLeonard Schmiester, Daniel Weindl, Jan Hasenauer
Methods in Molecular Biology (Clifton, N.J.)|December 15, 2018
Scalable Inference of Ordinary Differential Equation Models of Biochemical ProcessesFabian Fröhlich, Carolin Loos, Jan Hasenauer
Plos Computational Biology|June 17, 2024
Missing data in amortized simulation-based neural posterior estimationZijian Wang, Jan Hasenauer, Yannik Schälte
Journal of Mathematical Biology|July 23, 2020
Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approachLeonard Schmiester, Daniel Weindl, Jan Hasenauer
Pageof 16