Model-free inference of direct network interactions from nonlinear collective dynamics
Network dynamical systems can represent the interactions involved in the collective dynamics of gene regulatory networks or metabolic circuits. Here Casadiego et al. present a method for inferring these types of interactions directly from observed time series without relying on their model.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-017-02288-4 |