Integrating traditional omics and machine learning approaches to identify microbial biomarkers and therapeutic targets in pediatric inflammatory bowel disease

Abstract excerpt

Background Pediatric inflammatory bowel disease (IBD), especially Crohn’s disease, significantly affects gut health and quality of life. Although gut microbiome research has advanced, identifying reliable biomarkers remains difficult due to microbial complexity. Methods We used RNA-seq-based microbial profiling and machine learning (ML) to find robust biomarkers in pediatric IBD. Microbial taxa were profiled at...

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• Share to Clostridium difficile and Clostridium perfringens research
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