Network and machine learning integration reveals gut microbiome biomarkers in pediatric IBD
Yixing Luo, Yang Yang · 2025
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Description
Yixing Luo and Yang Yang present a 2025 study combining network analysis with machine learning to find gut microbe markers of inflammatory bowel disease in children. Sturdy stool-based biomarkers remain scarce, most of all for Asian children. Bacteria that shift with treatment could sharpen diagnosis.
Fifty children, most with bowel disease, gave stool samples for gene sequencing at a Beijing hospital. Sick children showed lower microbial variety. Network mapping highlighted interacting bacterial groups, and four machine-learning methods ranked the taxa that best flagged cases. Tools that show their working explained the rankings. The combined approach picks candidate biomarkers for testing in larger groups of children.
Catalog record
| CREATOR | Yixing Luo, Yang Yang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 52 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |