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MutaGAN: A sequence-to-sequence GAN framework to predict mutations of evolving protein populations
The ability to predict the evolution of a pathogen would significantly improve the ability to control, prevent, and treat disease. Machine learning, however, is yet to be used to predict the evolutionary progeny of a virus. To address this gap, we developed a novel machine learning framework, named...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10104372/ https://www.ncbi.nlm.nih.gov/pubmed/37066021 http://dx.doi.org/10.1093/ve/vead022 |