A New Ontology-Based Method for Functional Composed Comparison of MicroRNAs

摘要: MicroRNAs (miRNAs) are small non-coding RNA molecules that negatively regulate gene expression, playing critical roles in many relevant biological processes. Since there no terms of miRNAs annotation Gene Ontology (GO) nor a database with miRNA functional annotation, the direct computation similarity between cannot be done under an established standardized approach. However, can annotated set information, such as if it acts oncogene or tumour suppressor, organism belongs, its association diseases, target genes, proteins and pathological events. This way, two inferred based, for example, relative position their respective genes GO. In this study, we propose evaluate CFSim, method uses GO disease ontology MeSH to compute composed by combining different information related them. We validated CFSim examining values intra inter families, results showed our is efficient sense same family was higher compared other from distinct families. Furthermore, comparison existing methods similarity, more effective distinguishing