A sequence-based machine learning model for predicting antigenic distance for H3N2 influenza virus
IntroductionSeasonal influenza A H3N2 viruses are constantly changing, reducing the effectiveness of existing vaccines. As a result, the World Health Organization (WHO) needs to frequently update the vaccine strains to match the antigenicity of emerged H3N2 variants. Traditional assessments of antig...
| Main Authors: | , , , |
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| 格式: | 文件 |
| 语言: | English |
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Frontiers Media S.A.
2024-01-01
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| 丛编: | Frontiers in Microbiology |
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| 在线阅读: | https://www.frontiersin.org/articles/10.3389/fmicb.2024.1345794/full |