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Daniel Weindl

Showing results (21-30 of 30) with videos related to

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Nature Communications|January 11, 2022
Mini-batch optimization enables training of ODE models on large-scale datasetsPaul Stapor, Leonard Schmiester, Christoph Wierling, 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)|October 26, 2017
PESTO: Parameter EStimation TOolboxPaul Stapor, Daniel Weindl, Benjamin Ballnus, et al.
Nature Methods|December 4, 2025
C-COMPASS: a user-friendly neural network tool profiles cell compartments at protein and lipid levelsDaniel T Haas, Daniel Weindl, Pamela Kakimoto, et al.
Cell Systems|December 4, 2018
Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway ModelFabian Fröhlich, Thomas Kessler, Daniel Weindl, 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.
Briefings in Bioinformatics|April 25, 2018
Community-driven roadmap for integrated disease mapsMarek Ostaszewski, Stephan Gebel, Inna Kuperstein, et al.
Microorganisms|September 23, 2022
Epidemiological and Serological Analysis of a SARS-CoV-2 Outbreak in a Nursing Home: Impact of SARS-CoV-2 Vaccination and Enhanced Neutralizing Immunity Following Breakthrough InfectionBarbara I Streibl, Heidi Lahne, Andreas Grahl, et al.
Plos Computational Biology|January 26, 2021
PEtab-Interoperable specification of parameter estimation problems in systems biologyLeonard Schmiester, Yannik Schälte, Frank T Bergmann, et al.
Nucleic Acids Research|May 7, 2022
BioSimulators: a central registry of simulation engines and services for recommending specific toolsBilal Shaikh, Lucian P Smith, Dan Vasilescu, et al.
Pageof 3

Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Nature Communications|January 11, 2022
Mini-batch optimization enables training of ODE models on large-scale datasetsPaul Stapor, Leonard Schmiester, Christoph Wierling, 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)|October 26, 2017
PESTO: Parameter EStimation TOolboxPaul Stapor, Daniel Weindl, Benjamin Ballnus, et al.
Nature Methods|December 4, 2025
C-COMPASS: a user-friendly neural network tool profiles cell compartments at protein and lipid levelsDaniel T Haas, Daniel Weindl, Pamela Kakimoto, et al.
Cell Systems|December 4, 2018
Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway ModelFabian Fröhlich, Thomas Kessler, Daniel Weindl, 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.
Briefings in Bioinformatics|April 25, 2018
Community-driven roadmap for integrated disease mapsMarek Ostaszewski, Stephan Gebel, Inna Kuperstein, et al.
Microorganisms|September 23, 2022
Epidemiological and Serological Analysis of a SARS-CoV-2 Outbreak in a Nursing Home: Impact of SARS-CoV-2 Vaccination and Enhanced Neutralizing Immunity Following Breakthrough InfectionBarbara I Streibl, Heidi Lahne, Andreas Grahl, et al.
Plos Computational Biology|January 26, 2021
PEtab-Interoperable specification of parameter estimation problems in systems biologyLeonard Schmiester, Yannik Schälte, Frank T Bergmann, et al.
Nucleic Acids Research|May 7, 2022
BioSimulators: a central registry of simulation engines and services for recommending specific toolsBilal Shaikh, Lucian P Smith, Dan Vasilescu, et al.
Pageof 3