ORCID Profile
0000-0001-8138-0583
Current Organisation
UNSW Sydney
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: IEEE
Date: 08-2009
Publisher: No publisher found
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 14-06-2014
Publisher: ACM
Date: 17-06-2019
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: No publisher found
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 17-09-2016
Publisher: Oxford University Press (OUP)
Date: 09-11-2012
DOI: 10.1093/BIOINFORMATICS/BTR620
Abstract: Motivation: Given a large-scale biological network represented as an influence graph, in this article we investigate possible decompositions of the network aimed at highlighting specific dynamical properties. Results: The first decomposition we study consists in finding a maximal directed acyclic subgraph of the network, which dynamically corresponds to searching for a maximal open-loop subsystem of the given system. Another dynamical property investigated is strong monotonicity. We propose two methods to deal with this property, both aimed at decomposing the system into strongly monotone subsystems, but with different structural characteristics: one method tends to produce a single large strongly monotone component, while the other typically generates a set of smaller disjoint strongly monotone subsystems. Availability: Original heuristics for the methods investigated are described in the article. Contact: altafini@sissa.it
Location: Italy
No related grants have been discovered for Fahimeh Ramezani.