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Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning
The global efforts to control COVID-19 are threatened by the rapid emergence of novel SARS-CoV-2 variants that may display undesirable characteristics such as immune escape, increased transmissibility or pathogenicity. Early prediction for emergence of new strains with these features is critical for...
Autores principales: | Nagpal, Sargun, Pal, Ridam, Ashima, Tyagi, Ananya, Tripathi, Sadhana, Nagori, Aditya, Ahmad, Saad, Mishra, Hara Prasad, Malhotra, Rishabh, Kutum, Rintu, Sethi, Tavpritesh |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9024110/ https://www.ncbi.nlm.nih.gov/pubmed/35464852 http://dx.doi.org/10.3389/fgene.2022.858252 |
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