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

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

Abstract 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 effort...

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Bibliographic Details
Main Authors: Tongjun Gu, Xiwu Zhao, William Bradley Barbazuk, Ji-Hyun Lee
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Hybrid model
MiRNA target
Convolutional neural networks
Recurrent neural networks
Online Access:https://doi.org/10.1186/s12859-021-04026-6

Internet

https://doi.org/10.1186/s12859-021-04026-6

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