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The Promises and Pitfalls of Machine Learning for Detecting Viruses in Aquatic Metagenomes
Tools allowing for the identification of viral sequences in host-associated and environmental metagenomes allows for a better understanding of the genetics and ecology of viruses and their hosts. Recently, new approaches using machine learning methods to distinguish viral from bacterial signal using...
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| Publicat a: | Front Microbiol |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6477088/ https://ncbi.nlm.nih.gov/pubmed/31057513 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmicb.2019.00806 |
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