RPI-MCNNBLSTM: BLSTM Networks Combining With Multiple Convolutional Neural Network Models to Predict RNA-Protein Interactions Using Multiple Biometric Features Codes

RPI-MCNNBLSTM: BLSTM Networks Combining With Multiple Convolutional Neural Network Models to Predict RNA-Protein Interactions Using Multiple Biometric Features Codes

RNA plays an important role in many biological processes, and RNA functions are primarily achieved by binding with a variety of proteins. But with the increasing complexity of RPIs networks, high-throughput biological techniques are usually expensive and time consuming. Therefore, there is an urgent...

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Bibliographic Details
Main Authors: Ruibo Gao, Tianhua Yang, Yaxue Shen, Yifan Rong, Kang Ye, Junlan Nie
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multiple convolutional neural network
LSTM networks
multiple biometric features codes
RNA-protein interactions
Online Access:https://ieeexplore.ieee.org/document/9224615/

Internet

https://ieeexplore.ieee.org/document/9224615/

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