Identifying miRNA-mRNA interactions by a combination of spearman's rank correlation and IDA

It is already discovered that miRNA works as a regulator for the functions and production of mRNA. Malfunctions in this regulatory relationship can lead to different types of genetic life threatening diseases. Identifying miRNA-mRNA interaction is very important to biological research for understanding complex process of genes, and to medical research for discovering new genetic medicines. Standard methods for identifying miRNA-mRNA interactions requires chemical experiment which is very time consuming and costly. Therefore, researchers have been trying to find alternatives. Several computational methods are being developed to replace chemical experiments. Many computational methods show promising results. IDA is a computational method used to discover miRNA-mRNA regulatory relationships. Although IDA shows good predictions for gene-gene interactions, it's running time is very high. We propose an improvement to the IDA reducing its running time without affecting prediction performance.