… 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. …

… artificial neural networks and support vector machines. In addition… problem by using an SVM
classifier in their miTarget. … that use a combination of two or more miRNA target predicting …

… 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–…

… a support vector machine (SVM) classifier, which was used for filtering the miRNAs targets.
We … and widely used in miRNA target prediction such as HomoTarget, miTarget, MiRTif, MTar, …

… Accurate identification of miRNA target genes has been a focus of computational biology for
… resources dedicated to predict which genes are targeted by particular miRNAs. Since 2006, …

… 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 …

… for improving the miRNA target prediction by utilizing … can train Support Vector Machines
(SVM) and predict miRNA … miRNA target prediction such as Homo Target [11], miTarget […

… Also, in [11], features are ranked and selected to improve the performance of the SVM
classifier-based system, miTarget, which predicts miRNA target gene. In [12], a semi-supervised …

… prediction scores is used to identify the microRNA target … are available for the prediction of
miRNA regulated protein … the existing algorithms like Support Vector Machine, Neural Network…

… In this paper, the different microRNA target databases and their … miRNA target identified by
various methods such as Ab-initio, machine learning (support vector machine (SVM), genetic …