Research on RNA secondary structure predicting via bidirectional recurrent neural network

Research on RNA secondary structure predicting via bidirectional recurrent neural network

Abstract Background RNA secondary structure prediction is an important research content in the field of biological information. Predicting RNA secondary structure with pseudoknots has been proved to be an NP-hard problem. Traditional machine learning methods can not effectively apply protein sequenc...

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Bibliographic Details
Main Authors: Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Recurrent neural network
RNA secondary structure prediction
Pseudoknots
Online Access:https://doi.org/10.1186/s12859-021-04332-z

Internet

https://doi.org/10.1186/s12859-021-04332-z

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