Prediction of disease-related microRNAs by incorporating functional similarity and common association information
“Prediction of disease-related microRNAs by incorporating functional similarity and common association information”, vol. 13, pp. 2009-2019, 2014.
, The identification of human disease-related microRNAs (miRNAs) is important for understanding the pathogenesis of diseases, but to do this experimentally is a costly and time-consuming process. Computational prediction of disease-related miRNA candidates is a valuable complement to experimental studies. It is essential to develop an effective prediction method to provide reliable candidates for subsequent biological experiments. In this study, we constructed a miRNA functional similarity network based on calculation of the functional similarity between each pair of miRNAs.