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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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