DisiMiR: Predicting Pathogenic miRNAs Using Network Influence and miRNA Conservation.

ABSTRACT: MiRNAs have been shown to play a powerful regulatory role in the progression of serious diseases, including cancer, Alzheimer's, and others, raising the possibility of new miRNA-based therapies for these conditions. Current experimental methods, such as differential expression analysis, can discover disease-associated miRNAs, yet many of these miRNAs play no functional role in disease progression. Interventional experiments used to discover disease causal miRNAs can be time consuming and costly. We present DisiMiR: a novel computational method that predicts pathogenic miRNAs by inferring biological characteristics of pathogenicity, including network influence and evolutionary conservation. DisiMiR separates disease causal miRNAs from merely disease-associated miRNAs, and was accurate in fo

SUBMITTER: Wang KR 

PROVIDER: S-EPMC9326518 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature