Predicting the hosts of prokaryotic viruses using GCN-based semi-supervised learning
Abstract Background Prokaryotic viruses, which infect bacteria and archaea, are the most abundant and diverse biological entities in the biosphere. To understand their regulatory roles in various ecosystems and to harness the potential of bacteriophages for use in therapy, more knowledge of viral-ho...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
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BMC
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/cb95452b3ffb461eb7c9d39846bf9ffb |
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