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The prediction of virus mutation using neural networks and rough set techniques
Viral evolution remains to be a main obstacle in the effectiveness of antiviral treatments. The ability to predict this evolution will help in the early detection of drug-resistant strains and will potentially facilitate the design of more efficient antiviral treatments. Various tools has been utili...
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| I publikationen: | EURASIP J Bioinform Syst Biol |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Springer International Publishing
2016
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4867776/ https://ncbi.nlm.nih.gov/pubmed/27257410 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13637-016-0042-0 |
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