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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882172/ https://www.ncbi.nlm.nih.gov/pubmed/31775612 http://dx.doi.org/10.1186/s12859-019-3199-1 |