RDDpred: A condition-specific RNA-editing prediction model from RNA-seq data
1) RDDpred deduces condition-specific training examples without any experimental validations to construct a predictor.
2) As far as we know, RDDpred is the very first machine-learning based automated pipeline for RNA-editing prediction.
3) RDDpred successfully reproduced the results of two previous studies (95%, 90%),
with showing significant NPV (84%, 75%) and the prediction procedures are finished in reasonable time (18 hrs).
Kim et al., "RDDpred: a condition-specific RNA-editing prediction model from RNA-seq data.", BMC Genomics 2016, 17(Suppl 1):5