Revealing subnetwork roles using contextual visualization: comparison of metabolic networks

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dc.creatorBourqui, Romain
dc.creatorJourdan, Fabien
dc.date2008-12-04
dc.date.accessioned2026-07-07T12:09:20Z
dc.date.available2026-07-07T12:09:20Z
dc.descriptionThis article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The visual backbone of this comparative analysis is provided by a network classification hierarchy. This method makes sense when dealing with metabolic networks since comparison could be done using pathways (clusters). Moreover each network models an organism and it exists organism classification such as taxonomies. Video demonstration: http://www.labri.fr/perso/bourqui/video.wmv
dc.identifierhttps://arxiv.org/abs/0812.0873
dc.identifierhttp://arxiv.org/abs/0812.0873
dc.identifier12th International Conference on Information Visualisation, London : Royaume-Uni (2008)
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/209593
dc.subjectQuantitative Methods
dc.titleRevealing subnetwork roles using contextual visualization: comparison of metabolic networks
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