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Interpretation of microbiota-based diagnostics by explaining individual classifier decisions
BACKGROUND: The human microbiota is associated with various disease states and holds a great promise for non-invasive diagnostics. However, microbiota data is challenging for traditional diagnostic approaches: It is high-dimensional, sparse and comprises of high inter-personal variation. State of th...
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| Publicado no: | BMC Bioinformatics |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5628491/ https://ncbi.nlm.nih.gov/pubmed/28978318 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1843-1 |
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