DWPPI: A Deep Learning Approach for Predicting Protein–Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network

DWPPI: A Deep Learning Approach for Predicting Protein–Protein Interactions in Plants Based on Multi-Source Information With a Large-Scale Biological Network

The prediction of protein–protein interactions (PPIs) in plants is vital for probing the cell function. Although multiple high-throughput approaches in the biological domain have been developed to identify PPIs, with the increasing complexity of PPI network, these methods fall into laborious and tim...

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Bibliographic Details
Main Authors: Guo, J.-X (Author), Huang, W.-Z (Author), Li, L.-P (Author), Pan, J. (Author), Wang, L.-P (Author), You, Z.-H (Author), Yu, C.-Q (Author), Zhao, Z.-Y (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2022
Subjects:
Biological networks
Cell functions
Classification (of information)
deep neural networks
Deep neural networks
Forecasting
High-throughput approaches
Information services
Large-scales
Learning approach
Molecular biology
multi-source information
Multi-source informations
network embedding
Network embedding
Network embeddings
plant
Plant
Plant proteins
Plants (botany)
protein-protein interaction
Protein-protein interactions
Proteins
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