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Supplementary material to *Mini-batch optimization enables training of ODE models on large-scale datasets*

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This archive contains supplementary material to the manuscript <em>Mini-batch optimization enables training of ODE models on large-scale datasets</em> This upload contains: Code for parameter estimation which we used to find our results 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 A readme file

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Zenodo
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2019-11-28
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