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Prediction of virus-host infectious association by supervised learning methods
BACKGROUND: The study of virus-host infectious association is important for understanding the functions and dynamics of microbial communities. Both cellular and fractionated viral metagenomic data generate a large number of viral contigs with missing host information. Although relative simple method...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5374558/ https://ncbi.nlm.nih.gov/pubmed/28361670 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1473-7 |
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