… with 3′ of miRNAs, local AU content, etc., for target site identification. In addition to these
traditional miRNA target site … TarPmiR applies a random-forest-based approach to integrate six …

… miRNAs target sites after the A-to-I edit and also integration … miRNA target binding sites
as well as influences the miRNA … results to lead generate the novel binding sites. The A-to-I …

… extent, the 3′ site of miRNA. The conservation analysis is … that a predicted miRNA target is
functional because it is … in most algorithms for miRNA target prediction, including TargetScan […

… accuracy in predicting of miRNA target gene interactions. For that, … integrate most of these
features to predict miRNA target sites and besides, it offers the possibility to extend the binding …

… , providing nearly 152 million human microRNA–target predictions, which were …
microRNA–target interaction to provide a unified measure of confidence. We demonstrate that …

… and the gene regulatory effect of miRNAs 11 . Previously published miRNA target site
prediction tools can be classified into five categories: sequence-based tools such as TargetScan …

… In this study, we developed a method for miRNA TSS prediction by integrating the information
of experimental data of H3K4me3 and DHS, the species conservation and sequence …

… miRNA–mRNA interaction-aware model was then designed to help identify miRNA binding
… model can suggest potential binding patterns for miRNA–mRNA sequence interacting pairs. …

… This review summarizes the key strategies for miRNA target identification. Several tools
for … of the potential miR-622 targets in breast cancer, using an integrated miRNA prediction …

… -based algorithm for functional miRNA target prediction. To … (ii) a novel miRNA–CTS sequence
encoding scheme incorporating … to use the ResNet for functional miRNA target prediction. …