Faecal microbiome-based machine learning for multi-class disease diagnosis

Systemic characterisation of the human faecal microbiome provides the opportunity to develop non-invasive approaches in the diagnosis of a major human disease. However, shared microbial signatures across different diseases make accurate diagnosis challenging in single-disease models. Herein, we pres...

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Detalles Bibliográficos
Autores principales: Su, Qi, Liu, Qin, Lau, Raphaela Iris, Zhang, Jingwan, Xu, Zhilu, Yeoh, Yun Kit, Leung, Thomas W. H., Tang, Whitney, Zhang, Lin, Liang, Jessie Q. Y., Yau, Yuk Kam, Zheng, Jiaying, Liu, Chengyu, Zhang, Mengjing, Cheung, Chun Pan, Ching, Jessica Y. L., Tun, Hein M., Yu, Jun, Chan, Francis K. L., Ng, Siew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649010/
https://www.ncbi.nlm.nih.gov/pubmed/36357393
http://dx.doi.org/10.1038/s41467-022-34405-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649010/
https://www.ncbi.nlm.nih.gov/pubmed/36357393
http://dx.doi.org/10.1038/s41467-022-34405-3

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