Jan Hasenauer
Orcid: 0000-0002-4935-3312
According to our database1,
Jan Hasenauer
authored at least 58 papers
between 2010 and 2023.
Collaborative distances:
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Bibliography
2023
Validation of genetic variants from NGS data using deep convolutional neural networks.
BMC Bioinform., December, 2023
Bioinform., November, 2023
FitMultiCell: simulating and parameterizing computational models of multi-scale and multi-cellular processes.
Bioinform., November, 2023
Accessibility of covariance information creates vulnerability in Federated Learning frameworks.
Bioinform., September, 2023
IntestLine: a shiny-based application to map the rolled intestinal tissue onto a line.
Bioinform., April, 2023
Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.
PLoS Comput. Biol., January, 2023
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A More Expressive Spline Representation for SBML Models Improves Code Generation Performance in AMICI.
Proceedings of the Computational Methods in Systems Biology, 2023
2022
BioSimulators: a central registry of simulation engines and services for recommending specific tools.
Nucleic Acids Res., 2022
J. Open Source Softw., 2022
2021
PEtab - Interoperable specification of parameter estimation problems in systems biology.
PLoS Comput. Biol., 2021
yaml2sbml: Human-readable and -writable specification of ODE models and their conversion to SBML.
J. Open Source Softw., 2021
Efficient gradient-based parameter estimation for dynamic models using qualitative data.
Bioinform., 2021
AMICI: high-performance sensitivity analysis for large ordinary differential equation models.
Bioinform., 2021
SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems.
Bioinform., 2021
2020
Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines.
PLoS Comput. Biol., 2020
Efficient parameterization of large-scale dynamic models based on relative measurements.
Bioinform., 2020
Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation.
Bioinform., 2020
Briefings Bioinform., 2020
2019
Bioinform., 2019
2018
Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis.
Bioinform., 2018
Bioinform., 2018
Bioinform., 2018
Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering.
Bioinform., 2018
Proceedings of the Computational Methods in Systems Biology, 2018
2017
PLoS Comput. Biol., 2017
Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems.
BMC Syst. Biol., 2017
Bioinform., 2017
A scalable moment-closure approximation for large-scale biochemical reaction networks.
Bioinform., 2017
Parameter estimation for dynamical systems with discrete events and logical operations.
Bioinform., 2017
A Scheme for Adaptive Selection of Population Sizes in Approximate Bayesian Computation - Sequential Monte Carlo.
Proceedings of the Computational Methods in Systems Biology, 2017
2016
An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson's rule.
Stat. Comput., 2016
Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion.
PLoS Comput. Biol., 2016
Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints.
BMC Syst. Biol., 2016
Analysis of CFSE time-series data using division-, age- and label-structured population models.
Bioinform., 2016
Proceedings of the Computational Methods in Systems Biology, 2016
2015
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems.
Bioinform., 2015
Approximate Bayesian Computation for Stochastic Single-Cell Time-Lapse Data Using Multivariate Test Statistics.
Proceedings of the Computational Methods in Systems Biology, 2015
2014
ODE Constrained Mixture Modelling: A Method for Unraveling Subpopulation Structures and Dynamics.
PLoS Comput. Biol., 2014
Uncertainty Analysis for Non-identifiable Dynamical Systems: Profile Likelihoods, Bootstrapping and More.
Proceedings of the Computational Methods in Systems Biology, 2014
Radial Basis Function Approximations of Bayesian Parameter Posterior Densities for Uncertainty Analysis.
Proceedings of the Computational Methods in Systems Biology, 2014
2013
Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation.
BMC Syst. Biol., 2013
BMC Bioinform., 2013
Modeling of 2D diffusion processes based on microscopy data: parameter estimation and practical identifiability analysis.
BMC Bioinform., 2013
Proceedings of the IEEE Pacific Visualization Symposium, 2013
2012
EURASIP J. Bioinform. Syst. Biol., 2012
Proceedings of the 2012 IEEE Symposium on Biological Data Visualization, 2012
2011
Identification of models of heterogeneous cell populations from population snapshot data.
BMC Bioinform., 2011
Steady state stability preserving nonlinear model reduction using sequential convex optimization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
A maximum likelihood estimator for parameter distributions in heterogeneous cell populations.
Proceedings of the International Conference on Computational Science, 2010
Approximative classification of regions in parameter spaces of nonlinear ODEs yielding different qualitative behavior.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Computation of the Posterior Entropy in a Bayesian Framework for Parameter Estimation in Biological Networks.
Proceedings of the IEEE International Conference on Control Applications, 2010