Supplementary datasets for the manuscript "Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states" - Part 1

Description

This work was supported by funding from the Swiss National Science Foundation grant 315230_163423, the European Union's Horizon 2020 research and innovation programme under grant agreement 814408, Swedish Research Council Vetenskapsradet grant 2016-06160, and the Ecole Polytechnique Fédérale de Lausanne (EPFL).

Resources

Name Format Description Link
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002
0 http://data.europa.eu/88u/dataset/oai-zenodo-org-7930002

Tags

  • evolution-strategies
  • integration-of-omics-data
  • metabolism
  • kinetic-parameters
  • e.-coli
  • large-scale-and-genome-scale-kinetic-models
  • nonlinear-dynamics
  • machine-learning

Topics

Categories