Ontology-driven similarity approaches to supporting gene func- tional assessment

Motivation: Bio-ontologies, such as the Gene Ontology, represent important sources of prior knowledge that may be automatically integrated to support predictive data analysis tasks. The assessment of similarity of gene products provides the basis for the implementation of classification tools and the automated validation of functional associations. This study discusses alternative techniques for measuring ontology-driven similarity of gene products. Relationships between these types of similarity information and key functional properties, such as gene co-expression, are discussed.

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