Combining Deep Neural Networks for Protein Secondary Structure Prediction

Combining Deep Neural Networks for Protein Secondary Structure Prediction

By combining convolutional neural networks (CNN) and long short term memory networks (LSTM) into the learning structure, this paper presents a supervised learning method called combining deep neural networks (CDNN) for protein secondary structure prediction. First, we use multiple convolutional neur...

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Bibliographic Details
Main Authors: Shusen Zhou, Hailin Zou, Chanjuan Liu, Mujun Zang, Tong Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
supervised learning
prediction
protein secondary structure
Online Access:https://ieeexplore.ieee.org/document/9085378/

Internet

https://ieeexplore.ieee.org/document/9085378/

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