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Model-free inference of direct network interactions from nonlinear collective dynamics
Reference
Jose Casadiego, Mor Nitzan, Sarah Hallerberg, Marc Timme, "Model-free inference of direct network interactions from nonlinear collective dynamics", In Nature Communications, Nature Publishing Group, vol. 8, no. 1, pp. 2192, 12/2017. [doi]
Abstract
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.
Bibtex
author = {Casadiego, Jose and Nitzan, Mor and Hallerberg, Sarah and Timme, Marc},
year = {2017},
title = {Model-free inference of direct network interactions from nonlinear collective dynamics},
journal = {Nature Communications},
publisher = {Nature Publishing Group},
issn = {2041-1723},
doi = {10.1038/s41467-017-02288-4},
volume = {8},
month = {12},
pages = {2192},
number = {1},
url = {http:https://doi.org/10.1038/s41467-017-02288-4},
abstract = {
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.
}}
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