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Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring
Advances in nucleic acid sequencing technology have enabled expansion of our ability to profile microbial diversity. These large datasets of taxonomic and functional diversity are key to better understanding microbial ecology. Machine learning has proven to be a useful approach for analyzing microbi...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7892807/ https://www.ncbi.nlm.nih.gov/pubmed/33680353 http://dx.doi.org/10.1016/j.csbj.2021.01.028 |