miRWoods: Enhanced precursor detection and stacked random forests for the sensitive detection of microRNAs
Fig 1
After aligning to the genome, overlapping reads are grouped together to form read stacks. Read stacks are scored used Mature Product Random Forest (MPRF), to predict a set of putative mature microRNAs. Products which meet the minimum threshold score for the MPRF are combined with the surrounding region to form hairpins and each hairpin is folded. Hairpins are scored using the Hairpin Random Forest (HPRF) and a set of final predictions are generated which meet the minimum threshold for the HPRF score.