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Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa.
Machine learning-based classification approaches are widely used to predict host phenotypes from microbiome data. Classifiers are typically employed by considering operational taxonomic units or relative abundance profiles as input features. Such types of data are intrinsically sparse, which opens t...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2022-04-01
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| Colecção: | PLoS Computational Biology |
| Acesso em linha: | https://doi.org/10.1371/journal.pcbi.1010066 |
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