NEWS | Prodigio >
Reconstructing large interaction networks from empirical time series data
Reconstructing interactions from observational data is a critical need for investigating natural biological networks, wherein network dimensionality is usually high.
IDConsortium
However, these pose a challenge to existing methods that can quantify only small interaction networks. Here, we proposed a novel approach to reconstruct high-dimensional interaction Jacobian networks using empirical time series without specific model assumptions. This method, named “multiview distance regularised S-map,” generalised the state space reconstruction to accommodate high dimensionality and overcome difficulties in quantifying massive interactions with limited data. When evaluating this method using time series generated from theoretical models involving hundreds of interacting species, estimated strengths of interaction Jacobians were in good agreement with theoretical expectations. Applying this method to a natural bacterial community helped identify important species from the interaction network and revealed mechanisms governing the dynamical stability of a bacterial community. The proposed method overcame the challenge of high dimensionality in large natural dynamical systems.
If you want more information about this news:
More news about this project:
IMDEA Energy is coordinating two new projects on the theme of anaerobic digestion
RAVIOLIC & RESOPLA are projects in the frame of “Strategic projects oriented towards the digital and ecological transition”.
Microbial indicators of anaerobic digestion failure upon organic loading rates disturbances
IMDEA Energy has participated in IWA-Young Waters Professionals Conference (Valencia, Spain) to present a poster with the main results found in the first experiments performed within Prodigio project.
University of Almeria is a partner in a new horizon europe project about microalgae
The University of Almeria is now involved in the REALM project (H2020 EU 101060991) focused on the reuse of nutrients and water from drainage water from agriculture activities.