A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network

Background: Studies have shown that RNA secondary structure, a planar structure formed by paired bases, plays diverse vital roles in fundamental life activities and complex diseases. RNA secondary structure profile can record whether each base is paired with others. Hence, accurate prediction of sec...

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Bibliographic Details
Main Authors:	Liu, Y. (Author), Wang, L. (Author), Wang, S. (Author), Zhang, H. (Author), Zhong, X. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	Accurate prediction binding site Binding sites Binding Sites Biological experiments Chemical reagents Forecasting Fully connected neural network genetics Long short-term memory LSTM methodology Multilayer neural networks Network structures Neural Networks, Computer protein secondary structure Protein Structure, Secondary Reagents Research Design Residual neural network RNA RNA secondary structure profile RNA secondary structures RPRes Secondary structures State of the art
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A novel end-to-end method to predict RNA secondary structure profile based on bidirectional LSTM and residual neural network

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