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Article

A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences

1 Jan 2021

Abstract excerpt

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, Common Cold and other Acute Respiratory Infection (ARI) viruses. An investigation of the hyper-parameters including the...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34814329
DOI: 10.3934/mbe.2021440

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