Institute of Computational Biology @ Helmholtz Center Munich

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Published March 13, 2019 | Version v1
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Supplementary data to Schmiester et al. *Efficient parameterization of large-scale dynamic models based on relative measurements*

Authors/Creators

  • 1. Institute of Computational Biology, Helmholtz Zentrum München -- German Research Center for Environmental Health, 85764 Neuherberg, Germany

Description

This archive contains Supplementary data to the manuscript Efficient parameterization of large-scale dynamic models based on relative measurements by Leonard Schmiester, Yannik Schälte, Fabian Fröhlich, Jan Hasenauer and Daniel Weindl.

Files

Files (13.1 GB)

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md5:f65b2adb269c4193823e980baaf02763
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Funding

European Commission
CanPathPro - Generation of the CanPath prototype - a platform for predictive cancer pathway modeling 686282