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Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data
BACKGROUND: The advent of metagenomic sequencing provides microbial abundance patterns that can be leveraged for sample origin prediction. Supervised machine learning classification approaches have been reported to predict sample origin accurately when the origin has been previously sampled. Using m...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731568/ https://www.ncbi.nlm.nih.gov/pubmed/33302990 http://dx.doi.org/10.1186/s13062-020-00287-y |