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MOTIVATION Gene Ontology (GO) has been manually developed to provide a controlled vocabulary for gene product attributes. It continues to evolve with new concepts that are compiled mostly from existing concepts in a compositional way. If we consider the relatively slow growth rate of GO in the face of the fast accumulation of the biological data, it is much(More)
We present a novel method to predict more detailed terms than those in the present Gene Ontology (GO). We apply this method to semantic tagging for natural language expressions that denote potential GO terms even when there is no direct mapping of such expressions into GO terms. The terms that are newly identified in this process can be used to extend GO by(More)
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