Evaluation of the importance of miRNAs based on miRNA-gene regulatory networks
MicroRNAs(miRNAs)are a class of non-coding short sequence RNA molecules that can specifically bind to target genes,thereby influencing the production of proteins corresponding to the target genes.A single miRNA may regulate the expression of multiple genes,and conversely,the ex-pression of a single gene may be regulated by multiple miRNAs.Existing research has shown that miRNAs can serve as potential tumor markers for early diagnosis and treatment of cancer.Evaluating the importance of different miRNAs is crucial for exploring the role of miRNAs in various diseases.Therefore,based on the regulatory network between miRNAs and genes,this study proposes an evalu-ation index for miRNA importance.By scoring and ranking miRNAs based on this index,miRNAs ranked higher are more likely to be associated with diseases.GO enrichment analysis results indicate that these top-ranked miRNAs have significant biological functions.Based on the expression charac-teristics of the top 100 ranked miRNAs,an SVM classification model is trained to classify various cancers,with an average accuracy of over 90%.The model also performs well in cancer classification problems.In conclusion,the proposed miRNA importance index in this study has important guiding significance for the identification of disease-related miRNAs and the application of miRNAs.