ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites.
Pengyu LiuJiangning SongChun-Yu LinTatsuya AkutsuPublished in: BMC bioinformatics (2021)
The results of this study show that ReCGBM is an interpretable and accurate predictor. Besides, the analyses of feature importance show that it might be of particular interest to consider more informative features close to the center of the pre-miRNA in future predictors.