Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods

Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods

Since its emergence in late 2019, SARS-CoV-2 has diversified into a large number of lineages and caused multiple waves of infection globally. Novel lineages have the potential to spread rapidly and internationally if they have higher intrinsic transmissibility and/or can evade host immune responses,...

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Autors principals:	Cahuantzi, R, Lythgoe, KA, Hall, I, Pellis, L, House, T
Format:	Journal article
Idioma:	English
Publicat:	National Academy of Sciences 2024

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