[HTML][HTML] 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 …
develop non-invasive approaches in the diagnosis of a major human disease. However …
Faecal microbiome-based machine learning for multi-class disease diagnosis
Q Su, Q Liu, RI Lau, J Zhang, Z Xu, YK Yeoh… - Nature …, 2022 - ideas.repec.org
Systemic characterisation of the human faecal microbiome provides the opportunity to
develop non-invasive approaches in the diagnosis of a major human disease. However …
develop non-invasive approaches in the diagnosis of a major human disease. However …
Faecal microbiome-based machine learning for multi-class disease diagnosis
Q Su, Q Liu, RI Lau, J Zhang, Z Xu… - Nature …, 2022 - pubmed.ncbi.nlm.nih.gov
Systemic characterisation of the human faecal microbiome provides the opportunity to
develop non-invasive approaches in the diagnosis of a major human disease. However …
develop non-invasive approaches in the diagnosis of a major human disease. However …
Faecal microbiome-based machine learning for multi-class disease diagnosis
Q Su, Q Liu, RI Lau, J Zhang, Z Xu… - Nature …, 2022 - econpapers.repec.org
Systemic characterisation of the human faecal microbiome provides the opportunity to
develop non-invasive approaches in the diagnosis of a major human disease. However …
develop non-invasive approaches in the diagnosis of a major human disease. However …
Faecal microbiome-based machine learning for multi-class disease diagnosis.
Q Su, Q Liu, RI Lau, J Zhang, Z Xu, YK Yeoh… - Nature …, 2022 - europepmc.org
Systemic characterisation of the human faecal microbiome provides the opportunity to
develop non-invasive approaches in the diagnosis of a major human disease. However …
develop non-invasive approaches in the diagnosis of a major human disease. However …
[PDF][PDF] Faecal microbiome-based machine learning for multi-class disease diagnosis
Z Xu, YK Yeoh, TWH Leung, W Tang, C Liu… - Nature …, 2022 - researchgate.net
Results We performed metagenomic sequencing of faecal samples from 2320 Hong Kong
Chinese (mean age 54.9, 48.7% female, Source Data, Supplementary Fig. 1a, see the …
Chinese (mean age 54.9, 48.7% female, Source Data, Supplementary Fig. 1a, see the …
Faecal microbiome-based machine learning for multi-class disease diagnosis
Q Su, Q Liu, RI Lau, J Zhang, Z Xu… - Nature …, 2022 - ui.adsabs.harvard.edu
Systemic characterisation of the human faecal microbiome provides the opportunity to
develop non-invasive approaches in the diagnosis of a major human disease. However …
develop non-invasive approaches in the diagnosis of a major human disease. However …
Faecal microbiome-based machine learning for multi-class disease diagnosis.
Q Su, Q Liu, RI Lau, J Zhang, Z Xu… - Nature …, 2022 - search.ebscohost.com
Systemic characterisation of the human faecal microbiome provides the opportunity to
develop non-invasive approaches in the diagnosis of a major human disease. However …
develop non-invasive approaches in the diagnosis of a major human disease. However …
[HTML][HTML] Faecal microbiome-based machine learning for multi-class disease diagnosis
Q Su, Q Liu, RI Lau, J Zhang, Z Xu, YK Yeoh… - Nature …, 2022 - ncbi.nlm.nih.gov
Systemic characterisation of the human faecal microbiome provides the opportunity to
develop non-invasive approaches in the diagnosis of a major human disease. However …
develop non-invasive approaches in the diagnosis of a major human disease. However …
[引用][C] Faecal microbiome-based machine learning for multi-class disease diagnosis
Z Xu, YK Yeoh, TWH Leung, W Tang, C Liu… - Nature …, 2022 - europepmc.org
Results We performed metagenomic sequencing of faecal samples from 2320 Hong Kong
Chinese (mean age 54.9, 48.7% female, Source Data, Supplementary Fig. 1a, see the …
Chinese (mean age 54.9, 48.7% female, Source Data, Supplementary Fig. 1a, see the …