The microRNA-disease associations has become a promising research direction due to the development of human diseases. MicroRNA is an important class of no coding single-stranded RNA molecules which are encoded by endogenous genes and have 22 nucleotides. MicroRNA plays an important role in regulating gene transcription, expression and regulation of the normal development of organisms. Unfortunately, the lack of known microRNA-disease associations identified by biological experiment has led to some problems such as the necessary experimental data. Traditional methods mainly focus on using biological experiments, which are time-consuming and expensive.
Here, we introduce two methods which are KATZ and CATAPULT to predict microRNA-disease association based on 271 microRNAs and 5080 diseases.
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