Abstract
The current hybrid semantic similarity computation methods do not take full consideration of related factors.Concerning this problem,this paper proposed an integrated method based on multiple factors that affect the calculation of the semantic similarity of Gene Ontology(GO) terms.This method integrated the semantic level,semantic distance and local semantic density,and utilized the semantic information of ontology to fully compute the semantic similarity of gene terms.The experimental results show that the method has higher correlation coefficient with manual scoring than other methods.
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