ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites

ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites

Background: Human dicer is an enzyme that cleaves pre-miRNAs into miRNAs. Several models have been developed to predict human dicer cleavage sites, including PHDCleav and LBSizeCleav. Given an input sequence, these models can predict whether the sequence contains a cleavage site. However, these mode...

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Bibliographic Details
Main Authors: Akutsu, T. (Author), Lin, C.-Y (Author), Liu, P. (Author), Song, J. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Cleavage sites
Close proximity
Computational experiment
DEAD box protein
DEAD-box RNA Helicases
Dicer cleavage site
DICER1 protein, human
Forecasting
genetics
Gradient boosting
Gradient boosting machine
human
Humans
Input sequence
Interpretability
Machine learning
microRNA
MicroRNAs
Relational features
ribonuclease III
Ribonuclease III
RNA
RNA cleavage
RNA Cleavage
RNA precursor
RNA Precursors
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