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Systematic evaluation of supervised classifiers for fecal microbiota-based prediction of colorectal cancer
Predicting colorectal cancer (CRC) based on fecal microbiota presents a promising method for non-invasive screening of CRC, but the optimization of classification models remains an unaddressed question. The purpose of this study was to systematically evaluate the effectiveness of different supervise...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Impact Journals LLC
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354752/ https://www.ncbi.nlm.nih.gov/pubmed/28061434 http://dx.doi.org/10.18632/oncotarget.14488 |