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Ontology- and graph-based similarity assessment in biological networks

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Wang, Haiying, Zheng, Huiru and Azuaje, Francisco (2010) Ontology- and graph-based similarity assessment in biological networks. Bioinformatics, 26 (20). pp. 2643-2644. [Journal article]

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URL: http://bioinformatics.oxfordjournals.org/content/26/20/2643.abstract

DOI: 10.1093/bioinformatics/btq477

Abstract

A standard systems-based approach to biomarker and drug target discovery consists of placing putative biomarkers in the context of a network of biological interactions, followed by different ‘guilt-by-association’ analyses. The latter is typically done based on network structural features. Here, an alternative analysis approach in which the networks are analyzed on a ‘semantic similarity’ space is reported. Such information is extracted from ontology-based functional annotations. We present SimTrek, a Cytoscape plugin for ontology-based similarity assessment in biological networks

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
Computer Science Research Institute > Smart Environments
ID Code:16030
Deposited By:Dr Haiying Wang
Deposited On:28 Oct 2010 16:14
Last Modified:08 Dec 2010 12:34

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