Disease Ontology Semantic and Enrichment analysis
نویسندگان
چکیده
Disease Ontology (DO) aims to provide an open source ontology for the integration of biomedical data that is associated with human disease. We developed DOSE package to promote the investigation of diseases. DOSE provides five methods including Resnik, Lin, Jiang, Rel and Wang for measuring semantic similarities among DO terms and gene products; Hypergeometric model and gene set enrichment analysis were also implemented for extracting disease association insight from genome wide expression profiles.
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