作者搜索結果 :: Library Catalog

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

出版 2023-01-01

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

出版 2023-11-01

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

出版 2012-01-01

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

出版 2014-07-01

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

出版 2017-01-01

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

出版 2021-01-01

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

出版 2016-01-01

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

出版 2021-11-01

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

出版 2016-07-01

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

出版 2024-01-01

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

出版 2024-01-01

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

出版 2024-11-01

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

出版 2023-04-01

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

出版 2018-12-01

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

出版 2021-03-01

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

出版 2022-01-01

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

出版 2021-07-01

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

出版 2023-01-01

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

出版 2017-12-01

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

出版 2020-03-01

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檢索結果 - Jan Hasenauer

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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