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This archive contains supplementary material to the revised version of the manuscript Mini-batch optimization enables training of ODE models on large-scale datasets This upload contains: Code for parameter estimation which we used to find our results Code for in-silico knockout study The biological models in SBML/PEtab format The artificial data created and used for a benchmark study The condensed results of the parameter estimation, as hdf5-files Figures of the preprint Code for generation of the figures Multiple readme files
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy - EXC 2151 - 390873048.
Mini-batch optimization, ODE modeling, optimization, parameter estimation, large-scale models, systems biology
Mini-batch optimization, ODE modeling, optimization, parameter estimation, large-scale models, systems biology
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