Interpretable Structured Learning with Sparse Gated Sequence Encoder for Protein-Protein Interaction Prediction
ICPR（2020）
Key words
interpretable structured learning,sparse gated sequence encoder,protein-protein interaction prediction,informative representations,amino acid sequences,deep learning models,Siamese architecture,model PPIs,pairwise encoding process,nonintuitive mappings,protein sequences,sequence representation,deep framework,bidirectional gated recurrent unit,sequential information,sparse regularization,model long-range dependencies,acids,protein motifs,interaction datasets
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