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Ordering taxa in image convolution networks improves microbiome-based machine learning accuracy
The human gut microbiome is associated with a large number of disease etiologies. As such, it is a natural candidate for machine-learning-based biomarker development for multiple diseases and conditions. The microbiome is often analyzed using 16S rRNA gene sequencing or shotgun metagenomics. However...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288916/ https://www.ncbi.nlm.nih.gov/pubmed/37345233 http://dx.doi.org/10.1080/19490976.2023.2224474 |