Ontology- and graph-based similarity assessment in biological networks

Haiying Wang, Huiru Zheng, Francisco Azuaje

Research output: Contribution to journalArticle

10 Citations (Scopus)

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
Original languageEnglish
Pages (from-to)2643-2644
JournalBioinformatics
Volume26
Issue number20
DOIs
Publication statusPublished - Oct 2010

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