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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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| Publicado en: | BMC Bioinformatics |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | 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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