A relation based measure of semantic similarity for Gene Ontology annotations

Background: Various measures of semantic similarity of terms in bio-ontologies such as the Gene Ontology (GO) have been used to compare gene products. Such measures of similarity have been used to annotate uncharacterized gene products and group gene products into functional groups. There are various ways to measure semantic similarity, either using the topological structure of the ontology, the instances (gene products) associated with terms or a mixture of both. We focus on an instance level definition of semantic similarity while using the information contained in the ontology, both in the graphical structure of the ontology and the semantics of relations between terms, to provide constraints on our instance level description. Semantic similarity of terms is extended to annotations by various approaches, either though aggregation operations such as min, max and average or through an extrapolative method. These approaches introduce assumptions about how semantic similarity of terms ...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Brendan Sheehan, Aaron J. Quigley, Benoit Gaudin, Simon Dobson
• Keywords: BMCBI 2008, Gene Products, Ontology, Semantic Similarity