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Antigenicity prediction and vaccine recommendation of human influenza virus A (H3N2) using convolutional neural networks
The rapid evolution of influenza A viruses poses a great challenge to vaccine development. Analytical and machine learning models have been applied to facilitate the process of antigenicity determination. In this study, we designed deep convolutional neural networks (CNNs) to predict Influenza antig...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734114/ https://www.ncbi.nlm.nih.gov/pubmed/32750260 http://dx.doi.org/10.1080/21645515.2020.1734397 |