Article

Attention-Based Hybrid Deep Learning Models for Classifying COVID-19 Genome Sequences

2025-01-02

Abstract excerpt

Background: COVID-19 genetic sequence research is crucial despite immunizations and pandemic control. COVID-19-causing SARS-CoV-2 must be understood genomically for several reasons. New viral strains may resist vaccines. Categorizing genetic sequences helps researchers track changes and assess immunization efficacy. Classifying COVID-19 genome sequences with other viruses helps to understand its evolution and inte...

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Literature Corpus work: c16370ed-2650-53d3-8be4-24022ee14540
DOI: 10.3390/ai6010004

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