LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction

LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction

Abstract Background RNA secondary structure is very important for deciphering cell’s activity and disease occurrence. The first method which was used by the academics to predict this structure is biological experiment, But this method is too expensive, causing the promotion to be affected. Then, com...

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Bibliographic Details
Main Authors: Yinchao Fei, Hao Zhang, Yili Wang, Zhen Liu, Yuanning Liu
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Bioinformatics
Subjects:
RNA secondary structure
Bi-LSTM
Transformer
Generator
Transfer learning
Online Access:https://doi.org/10.1186/s12859-022-04847-z

Internet

https://doi.org/10.1186/s12859-022-04847-z

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