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A guide to machine learning for bacterial host attribution using genome sequence data
With the ever-expanding number of available sequences from bacterial genomes, and the expectation that this data type will be the primary one generated from both diagnostic and research laboratories for the foreseeable future, then there is both an opportunity and a need to evaluate how effectively...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Microbiology Society
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6939162/ https://www.ncbi.nlm.nih.gov/pubmed/31778355 http://dx.doi.org/10.1099/mgen.0.000317 |