Showing results (1-10 of 169) with videos related to
Sort By:
Pageof 17
Plos One|October 23, 2024
Benchmarking methods for computing local sensitivities in ordinary differential equation models at dynamic and steady statesPolina Lakrisenko, Dilan Pathirana, Daniel Weindl, et al.Plos Computational Biology|January 3, 2023
Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networksPolina Lakrisenko, Paul Stapor, Stephan Grein, et al.Bioinformatics (Oxford, England)|April 6, 2021
AMICI: high-performance sensitivity analysis for large ordinary differential equation modelsFabian Fröhlich, Daniel Weindl, Yannik Schälte, et al.Nature Communications|January 11, 2022
Mini-batch optimization enables training of ODE models on large-scale datasetsPaul Stapor, Leonard Schmiester, Christoph Wierling, et al.Bioinformatics (Oxford, England)|November 23, 2023
pyPESTO: a modular and scalable tool for parameter estimation for dynamic modelsYannik Schälte, Fabian Fröhlich, Paul J Jost, et al.Bioinformatics (Oxford, England)|July 14, 2021
Efficient gradient-based parameter estimation for dynamic models using qualitative dataLeonard Schmiester, Daniel Weindl, Jan HasenauerJournal of Mathematical Biology|July 23, 2020
Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approachLeonard Schmiester, Daniel Weindl, Jan HasenauerBriefings in Bioinformatics|October 7, 2021
A protocol for dynamic model calibrationAlejandro F Villaverde, Dilan Pathirana, Fabian Fröhlich, et al.Bioinformatics (Oxford, England)|July 27, 2019
Efficient parameterization of large-scale dynamic models based on relative measurementsLeonard Schmiester, Yannik Schälte, Fabian Fröhlich, et al.Bioinformatics (Oxford, England)|March 6, 2026
PEtab-GUI: A graphical user interface to create, edit and inspect PEtab parameter estimation problemsPaul J Jost, Frank T Bergmann, Daniel Weindl, et al.Pageof 17