Ontology- and graph-based similarity assessment in biological networks

Haiying Wang, Huiru Zheng, Francisco Azuaje*

*Corresponding author for this work

    Research output: Contribution to journalArticleResearchpeer-review

    15 Citations (Scopus)


    Summary: 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
    Number of pages2
    Issue number20
    Publication statusPublished - 27 Aug 2010


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