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Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction

BACKGROUND: Recurrent neural network(RNN) is a good way to process sequential data, but the capability of RNN to compute long sequence data is inefficient. As a variant of RNN, long short term memory(LSTM) solved the problem in some extent. Here we improved LSTM for big data application in protein-p...

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Bibliografische gegevens
Gepubliceerd in:BMC Bioinformatics
Hoofdauteurs: Liu, Jiale, Gong, Xinqi
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2019
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6882172/
https://ncbi.nlm.nih.gov/pubmed/31775612
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3199-1
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