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

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

Abstract 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 predictio...

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Bibliographic Details
Main Authors: Linyu Wang, Xiaodan Zhong, Shuo Wang, Hao Zhang, Yuanning Liu
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Bioinformatics
Subjects:
RNA secondary structure profile
Residual neural network
LSTM
RPRes
Online Access:https://doi.org/10.1186/s12859-021-04102-x

Internet

https://doi.org/10.1186/s12859-021-04102-x

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