Abstract
microRNAs are short RNAs that reduce gene expression by binding to their targets. Computational predictions indicate that all human genes may be regulated by microRNAs, with each microRNA possibly targeting thousands of genes. Commonly used software will produce a prohibitive number of predicted targets for each microRNA. Here I describe procedures that refine these predictions by integrating available software and expression data from experiments available online. These procedures are tailored to experiments where predicting true targets is more important than detecting all putative targets.