miTAR: a hybrid deep learning-based approach for predicting miRNA targets

miTAR: a hybrid deep learning-based approach for predicting miRNA targets

Background: microRNAs (miRNAs) have been shown to play essential roles in a wide range of biological processes. Many computational methods have been developed to identify targets of miRNAs. However, the majority of these methods depend on pre-defined features that require considerable efforts and re...

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Bibliographic Details
Main Authors: Barbazuk, W.B (Author), Gu, T. (Author), Lee, J.-H (Author), Zhao, X. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Biological process
Convolutional neural networks
Deep learning
Deep Learning
Evaluation metrics
Forecasting
genetics
human
Humans
Hybrid model
Learning-based approach
microRNA
MicroRNAs
MiRNA target
Mirna target predictions
Neural Networks, Computer
Recurrent neural network (RNNs)
Recurrent neural networks
RNA
Small data set
Spatial features
Unified Modeling
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Internet

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