Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning

Prediction of DNA binding proteins using local features and long-term dependencies with primary sequences based on deep learning

DNA-binding proteins (DBPs) play pivotal roles in many biological functions such as alternative splicing, RNA editing, and methylation. Many traditional machine learning (ML) methods and deep learning (DL) methods have been proposed to predict DBPs. However, these methods either rely on manual featu...

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Bibliographic Details
Main Authors: Guobin Li, Xiuquan Du, Xinlu Li, Le Zou, Guanhong Zhang, Zhize Wu
Format: Article
Language:English
Published: PeerJ Inc. 2021-05-01
Series:PeerJ
Subjects:
DNA binding protein prediction
Deep learning
Convolution neural network (CNN)
Long short-term memory network (LSTM)
Long-term dependence
Fusion approach
Online Access:https://peerj.com/articles/11262.pdf

Internet

https://peerj.com/articles/11262.pdf

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