Accurate microRNA Target Prediction Using Detailed Binding Site Accessibility and Machine Learning on Proteomics Data

Summary

This study improves the accuracy of microRNA target prediction by modeling the accessibility of miRNA binding sites using detailed RNA secondary structure calculations and training machine learning models on proteomic measurements of miRNA-mediated repression.