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,...
| Những tác giả chính: | , , , , |
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| Định dạng: | Journal article |
| Ngôn ngữ: | English |
| Được phát hành: |
National Academy of Sciences
2024
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