Ngā hua rapu - Jan Hasenauer

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  1. 1
    Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation.

    Informative and adaptive distances and summary statistics in sequential approximate Bayesian computation. mā Yannik Schälte, Jan Hasenauer

    I whakaputaina 2023-01-01
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  2. 2
    Posterior marginalization accelerates Bayesian inference for dynamical models of biological processes

    Posterior marginalization accelerates Bayesian inference for dynamical models of biological processes mā Elba Raimúndez, Michael Fedders, Jan Hasenauer

    I whakaputaina 2023-11-01
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  3. 3
    Threshold-free population analysis identifies larger DRG neurons to respond stronger to NGF stimulation.

    Threshold-free population analysis identifies larger DRG neurons to respond stronger to NGF stimulation. mā Christine Andres, Jan Hasenauer, Frank Allgower, Tim Hucho

    I whakaputaina 2012-01-01
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  4. 4
    ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamics.

    ODE constrained mixture modelling: a method for unraveling subpopulation structures and dynamics. mā Jan Hasenauer, Christine Hasenauer, Tim Hucho, Fabian J Theis

    I whakaputaina 2014-07-01
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  5. 5
    Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks.

    Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks. mā Fabian Fröhlich, Barbara Kaltenbacher, Fabian J Theis, Jan Hasenauer

    I whakaputaina 2017-01-01
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  6. 6
    Benchmarking of numerical integration methods for ODE models of biological systems

    Benchmarking of numerical integration methods for ODE models of biological systems mā Philipp Städter, Yannik Schälte, Leonard Schmiester, Jan Hasenauer, Paul L. Stapor

    I whakaputaina 2021-01-01
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  7. 7
    CERENA: ChEmical REaction Network Analyzer--A Toolbox for the Simulation and Analysis of Stochastic Chemical Kinetics.

    CERENA: ChEmical REaction Network Analyzer--A Toolbox for the Simulation and Analysis of Stochastic Chemical Kinetics. mā Atefeh Kazeroonian, Fabian Fröhlich, Andreas Raue, Fabian J Theis, Jan Hasenauer

    I whakaputaina 2016-01-01
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  8. 8
    The mesoscale organization of syntaxin 1A and SNAP25 is determined by SNARE–SNARE interactions

    The mesoscale organization of syntaxin 1A and SNAP25 is determined by SNARE–SNARE interactions mā Jasmin Mertins, Jérôme Finke, Ricarda Sies, Kerstin M Rink, Jan Hasenauer, Thorsten Lang

    I whakaputaina 2021-11-01
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  9. 9
    Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion.

    Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion. mā Fabian Fröhlich, Philipp Thomas, Atefeh Kazeroonian, Fabian J Theis, Ramon Grima, Jan Hasenauer

    I whakaputaina 2016-07-01
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  10. 10
    A wall-time minimizing parallelization strategy for approximate Bayesian computation.

    A wall-time minimizing parallelization strategy for approximate Bayesian computation. mā Emad Alamoudi, Felipe Reck, Nils Bundgaard, Frederik Graw, Lutz Brusch, Jan Hasenauer, Yannik Schälte

    I whakaputaina 2024-01-01
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  11. 11
    A wall-time minimizing parallelization strategy for approximate Bayesian computation

    A wall-time minimizing parallelization strategy for approximate Bayesian computation mā Emad Alamoudi, Felipe Reck, Nils Bundgaard, Frederik Graw, Lutz Brusch, Jan Hasenauer, Yannik Schälte

    I whakaputaina 2024-01-01
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  12. 12
    Federated difference-in-differences with multiple time periods in DataSHIELD

    Federated difference-in-differences with multiple time periods in DataSHIELD mā Manuel Huth, Carolina Alvarez Garavito, Lea Seep, Laia Cirera, Francisco Saúte, Elisa Sicuri, Jan Hasenauer

    I whakaputaina 2024-11-01
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  13. 13
    Validation of genetic variants from NGS data using deep convolutional neural networks

    Validation of genetic variants from NGS data using deep convolutional neural networks mā Marc Vaisband, Maria Schubert, Franz Josef Gassner, Roland Geisberger, Richard Greil, Nadja Zaborsky, Jan Hasenauer

    I whakaputaina 2023-04-01
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  14. 14
    Increasing Neural Stem Cell Division Asymmetry and Quiescence Are Predicted to Contribute to the Age-Related Decline in Neurogenesis

    Increasing Neural Stem Cell Division Asymmetry and Quiescence Are Predicted to Contribute to the Age-Related Decline in Neurogenesis mā Lisa Bast, Filippo Calzolari, Michael K. Strasser, Jan Hasenauer, Fabian J. Theis, Jovica Ninkovic, Carsten Marr

    I whakaputaina 2018-12-01
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  15. 15
    COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling

    COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling mā Elba Raimúndez, Erika Dudkin, Jakob Vanhoefer, Emad Alamoudi, Simon Merkt, Lara Fuhrmann, Fan Bai, Jan Hasenauer

    I whakaputaina 2021-03-01
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  16. 16
    Mini-batch optimization enables training of ODE models on large-scale datasets

    Mini-batch optimization enables training of ODE models on large-scale datasets mā Paul Stapor, Leonard Schmiester, Christoph Wierling, Simon Merkt, Dilan Pathirana, Bodo M. H. Lange, Daniel Weindl, Jan Hasenauer

    I whakaputaina 2022-01-01
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  17. 17
    HCV Spread Kinetics Reveal Varying Contributions of Transmission Modes to Infection Dynamics

    HCV Spread Kinetics Reveal Varying Contributions of Transmission Modes to Infection Dynamics mā Karina Durso-Cain, Peter Kumberger, Yannik Schälte, Theresa Fink, Harel Dahari, Jan Hasenauer, Susan L. Uprichard, Frederik Graw

    I whakaputaina 2021-07-01
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  18. 18
    Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks.

    Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks. mā Polina Lakrisenko, Paul Stapor, Stephan Grein, Łukasz Paszkowski, Dilan Pathirana, Fabian Fröhlich, Glenn Terje Lines, Daniel Weindl, Jan Hasenauer

    I whakaputaina 2023-01-01
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  19. 19
    Evaluation of epidermal growth factor receptor signaling effects in gastric cancer cell lines by detailed motility-focused phenotypic characterization linked with molecular analysis

    Evaluation of epidermal growth factor receptor signaling effects in gastric cancer cell lines by detailed motility-focused phenotypic characterization linked with molecular analysi... mā Simone Keller, Julia Kneissl, Verena Grabher-Meier, Stefan Heindl, Jan Hasenauer, Dieter Maier, Julian Mattes, Peter Winter, Birgit Luber

    I whakaputaina 2017-12-01
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  20. 20
    Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines.

    Model-based analysis of response and resistance factors of cetuximab treatment in gastric cancer cell lines. mā Elba Raimúndez, Simone Keller, Gwen Zwingenberger, Karolin Ebert, Sabine Hug, Fabian J Theis, Dieter Maier, Birgit Luber, Jan Hasenauer

    I whakaputaina 2020-03-01
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