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| Item Type: | Preprint |
|---|---|
| Title: | LoopDetect: comprehensive feedback loop detection in ordinary differential equation models |
| Creators Name: | Baum, K. and Wolf, J. |
| Abstract: | Summary: The dynamics of ordinary differential equation (ODE) models strongly depend on the model structure, in particular the existence of positive and negative feedback loops. LoopDetect offers user-friendly detection of all feedback loops in ODE models in three programming languages frequently used to solve and analyze them: MATLAB, Python, and R. The developed toolset ac-counts for user-defined model parametrizations and states of the modelled variables and supports feedback loop detection over ranges of values. It generates output in an easily adaptable format for further investigation. Availability and Implementation: LoopDetect is implemented in R, Python 3 and MATLAB. It is freely available at https://cran.r-project.org/web/packages/LoopDetectR/, https://pypi.org/project/loopdetect/, https://de.mathworks.com/matlabcentral/fileexchange/81928-loopdetect/ (GPLv3 or BSD license). |
| Source: | bioRxiv |
| Publisher: | Cold Spring Harbor Laboratory Press |
| Article Number: | 2020.11.15.383703 |
| Date: | 17 November 2020 |
| Official Publication: | https://doi.org/10.1101/2020.11.15.383703 |
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