Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems
By A. Raue, Bernhard Steiert, Max Schelker, C. Kreutz, T. Maiwald, Helge Hass, J. Vanlier, C. Tönsing, L. Adlung, R. Engesser and 10 more. 2015
234 citations recorded by the source corpus.
Subfields: Molecular Biology
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In Molecular Biology
- Stefan Bauer
- Niklas Pfister
- Jens Timmer
- Jan Peters
- Birgit Schoeberl
- G. MacBeath
- Christina Heinze-Deml
- Nicolai Meinshausen
Citations in the corpus
- Causal Models for Dynamical Systems (2020, methodology): “…of goodness-of-fit of the integrated system, nonlinear least squares methods or gradient matching [Bard, 1974, Benson, 1979, Calderhead et al., 2009, Varah, 1982, Ramsay et al., 2007, Macdonald and Husmeier, 2015, Dattner and Klaassen, 2015, Raue et al., 2015, Oates et al., 2014, Wenk et al., 2019].”
- Identifying Causal Structure in Large-Scale Kinetic Systems (2018, methodology): “Additionally, we also fit the parameters for the IntegratedLasso model using the software package Data2Dynamics (d2d) [Raue et al., 2015], which is often used in practice.”
- Predicting ligand-dependent tumors from multi-dimensional signaling features (2017, methodology): “For the mathematical modelling and visualization, the opensource and freely available d2d framework (73), based on MATLAB, was used.”