PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles

PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles

Abstract Background Long noncoding RNAs (lncRNAs) play an important role in regulating biological activities and their prediction is significant for exploring biological processes. Long short-term memory (LSTM) and convolutional neural network (CNN) can automatically extract and learn the abstract i...

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Bibliographic Details
Main Authors: Jun Meng, Qiang Kang, Zheng Chang, Yushi Luan
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Bioinformatics
Subjects:
Deep learning
Long short-term memory
Convolutional neural network
Plant
lncRNA
Prediction
Online Access:https://doi.org/10.1186/s12859-020-03870-2

Internet

https://doi.org/10.1186/s12859-020-03870-2

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