Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network.
Recurrent neural networks with memory and attention mechanisms are widely used in natural language processing because they can capture short and long term sequential information for diverse tasks. We propose an integrated deep learning model for microbial DNA sequence data, which exploits convolutio...
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| Auteurs principaux: | , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/f942b69fd3b3444fabf60265b9f20db6 |
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