… RNAfold prediction for the purpose of microRNA targeting and include information about in
vivo process of microRNA target binding, we tuned RNAfold to predict … of microRNA targeting. …

… Timeline for ML-based miRNA target prediction tools. The … 2006 to 2020 categorized in
support vector machine (red), random … , miTarget is trained on 398 positive meaningful miRNA–…

… In the present study, we introduced a novel miRNA target prediction model called TEC-miTarget,
which leverages the power of the transformer encoder and CNNs. Based on deep …

… However, the experimental process of finding microRNA targets is costly and time-… of
microRNA target prediction. It creates an image for each pair of microRNA and a target candidate. …

… MiTarget which is a SVM classifier for miRNA target gene prediction have been introduced
by … [4] represented Bayesian kernel for the Support Vector Machine (SVM) in order to predict …

… features of miRNA target genes as input data. However, … the miTarget [5] method and uses
“LLLLLL” interacting miRNA and lncRNA sequences into a single-stranded sequence, using …

… Predicting human microRNA-disease associations based on support vector machine. Int
J … A Kernel method for microRNA target prediction using sensible data and position-based …

… In the context of this review, the most used types of models are Support Vector Machines (SVM),
Hidden Markov Models (HMM) and Artificial Neural Networks (ANN). SVMs and ANNs …

… in humans and contains miRNA target genes for 290 annotated intragenic miRNAs. It
analyzes the miRNA target genes predicted by the PicTar (Krek et al., 2005), TargetScan (Friedman…

… challenges and limitations in miRNA target predictions and, finally, … Support Vector Machine
(SVM) is the predominant machine learning algorithm used to train miRNA target prediction …