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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Autores principales: Mohanad A. Deif, Ahmed A. A. Solyman, Mehrdad Ahmadi Kamarposhti, Shahab S. Band, Rania E. Hammam
Formato: article
Lenguaje:EN
Publicado: AIMS Press 2021
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gru
Acceso en línea:https://doaj.org/article/e55ce32d10b740d4a30e6d7e3bf5a80c
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