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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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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... por Simone Keller, Julia Kneissl, Verena Grabher-Meier, Stefan Heindl, Jan Hasenauer, Dieter Maier, Julian Mattes, Peter Winter, Birgit Luber

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

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