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IILLS: predicting virus-receptor interactions based on similarity and semi-supervised learning
BACKGROUND: Viral infectious diseases are the serious threat for human health. The receptor-binding is the first step for the viral infection of hosts. To more effectively treat human viral infectious diseases, the hidden virus-receptor interactions must be discovered. However, current computational...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6933616/ https://ncbi.nlm.nih.gov/pubmed/31881820 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3278-3 |
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