A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences
In this work, Deep Bidirectional Recurrent Neural Networks (BRNNs) models were implemented based on both Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) cells in order to distinguish between genome sequence of SARS-CoV-2 and other Corona Virus strains such as SARS-CoV and MERS-CoV, Comm...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
AIMS Press
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/e55ce32d10b740d4a30e6d7e3bf5a80c |
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