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Machine learning for the meta-analyses of microbial pathogens’ volatile signatures
Non-invasive and fast diagnostic tools based on volatolomics hold great promise in the control of infectious diseases. However, the tools to identify microbial volatile organic compounds (VOCs) discriminating between human pathogens are still missing. Artificial intelligence is increasingly recognis...
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| Publicat a: | Sci Rep |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Publishing Group UK
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5820279/ https://ncbi.nlm.nih.gov/pubmed/29463885 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-21544-1 |
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