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...
Main Authors: | Liu, Y. (Author), Wang, L. (Author), Wang, S. (Author), Zhang, H. (Author), Zhong, X. (Author) |
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Format: | Article |
Language: | English |
Published: |
BioMed Central Ltd
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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