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...

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Detalles Bibliográficos
Autores principales: Ai, Luoyan, Tian, Haiying, Chen, Zhaofei, Chen, Huimin, Xu, Jie, Fang, Jing-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
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

Internet

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

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