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Efficient parameterization of large-scale mechanistic models enables drug response prediction for cancer cell lines
View ORCID ProfileFabian Fröhlich, View ORCID ProfileThomas Kessler, View ORCID ProfileDaniel Weindl, Alexey Shadrin, Leonard Schmiester, Hendrik Hache, Artur Muradyan, Moritz Schütte, Ji-Hyun Lim, View ORCID ProfileMatthias Heinig, View ORCID ProfileFabian J. Theis, View ORCID ProfileHans Lehrach, Christoph Wierling, Bodo Lange, View ORCID ProfileJan Hasenauer
doi: https://doi.org/10.1101/174094
Fabian Fröhlich
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
2Chair of Mathematical Modeling of Biological Systems, Center for Mathematics, Technische Universität München, 85748 Garching, Germany
Thomas Kessler
3Alacris Theranostics GmbH, 12489 Berlin, Germany
4Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
Daniel Weindl
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
Alexey Shadrin
6NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, 0450 Oslo, Norway
7Division of Mental Health and Addiction, Oslo University Hospital, 0450 Oslo, Norway
Leonard Schmiester
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
2Chair of Mathematical Modeling of Biological Systems, Center for Mathematics, Technische Universität München, 85748 Garching, Germany
Hendrik Hache
3Alacris Theranostics GmbH, 12489 Berlin, Germany
Artur Muradyan
3Alacris Theranostics GmbH, 12489 Berlin, Germany
Moritz Schütte
3Alacris Theranostics GmbH, 12489 Berlin, Germany
Ji-Hyun Lim
3Alacris Theranostics GmbH, 12489 Berlin, Germany
Matthias Heinig
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
2Chair of Mathematical Modeling of Biological Systems, Center for Mathematics, Technische Universität München, 85748 Garching, Germany
Fabian J. Theis
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
2Chair of Mathematical Modeling of Biological Systems, Center for Mathematics, Technische Universität München, 85748 Garching, Germany
Hans Lehrach
4Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
5Dahlem Centre for Genome Research and Medical Systems Biology, 12489 Berlin, Germany
Christoph Wierling
3Alacris Theranostics GmbH, 12489 Berlin, Germany
4Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
Bodo Lange
3Alacris Theranostics GmbH, 12489 Berlin, Germany
4Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
Jan Hasenauer
1Institute of Computational Biology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
2Chair of Mathematical Modeling of Biological Systems, Center for Mathematics, Technische Universität München, 85748 Garching, Germany
Article usage
Posted August 09, 2017.
Efficient parameterization of large-scale mechanistic models enables drug response prediction for cancer cell lines
Fabian Fröhlich, Thomas Kessler, Daniel Weindl, Alexey Shadrin, Leonard Schmiester, Hendrik Hache, Artur Muradyan, Moritz Schütte, Ji-Hyun Lim, Matthias Heinig, Fabian J. Theis, Hans Lehrach, Christoph Wierling, Bodo Lange, Jan Hasenauer
bioRxiv 174094; doi: https://doi.org/10.1101/174094
Efficient parameterization of large-scale mechanistic models enables drug response prediction for cancer cell lines
Fabian Fröhlich, Thomas Kessler, Daniel Weindl, Alexey Shadrin, Leonard Schmiester, Hendrik Hache, Artur Muradyan, Moritz Schütte, Ji-Hyun Lim, Matthias Heinig, Fabian J. Theis, Hans Lehrach, Christoph Wierling, Bodo Lange, Jan Hasenauer
bioRxiv 174094; doi: https://doi.org/10.1101/174094
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