William Ritchie, John E. J. Rasko, Ritchie, William, Rasko, John E. J.
Abstract
The accurate prediction of microRNA targets is essential to understanding their function. Commonly used software produces a prohibitive number of predicted targets for each microRNA. Here, we 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. Our approach is tailored to the experimental biologist who seeks to identify a workable set of putative microRNA target genes for further characterization.
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2011.
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