Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation

Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation

Abstract Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non-invasive biomarkers for enhanced diagnostic precision. Using the XGBoost algorithm and variable analysis and the published metadata, we developed the 10-species signature XGBoost classificat...

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Bibliographic Details
Main Authors: Shicheng Yu, Jun Li, Zhaofeng Ye, Mengxian Zhang, Xiaohua Guo, Xu Wang, Liansheng Liu, Yalong Wang, Xin Zhou, Wei Fu, Michael Q. Zhang, Ye-Guang Chen
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Cell Regeneration
Subjects:
Inflammatory bowel disease
XGBoost
Microbial species
Biomarker
Machine learning
Online Access:https://doi.org/10.1186/s13619-025-00246-w
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https://doi.org/10.1186/s13619-025-00246-w

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