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TADA: phylogenetic augmentation of microbiome samples enhances phenotype classification
MOTIVATION: Learning associations of traits with the microbial composition of a set of samples is a fundamental goal in microbiome studies. Recently, machine learning methods have been explored for this goal, with some promise. However, in comparison to other fields, microbiome data are high-dimensi...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6612822/ https://ncbi.nlm.nih.gov/pubmed/31510701 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz394 |
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