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August 19, 2025Journal of Translational MedicineOpen Access

Construction of a feature gene and machine prediction model for inflammatory bowel disease based on multichip joint analysis

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Authors

YCYan ChaoshengSHSun haowenJRJingjing Rao

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Overview

Multichip analysis identifies biomarkers for inflammatory bowel disease, suggesting machine learning can enhance diagnosis.

Key Points

  • Four key biomarkers for inflammatory bowel disease were identified, showing crucial immune system involvement.
  • Machine learning algorithms revealed superior diagnostic performance versus traditional methods based on artificial neural networks.
  • The study employed a multichip joint analysis combining SHAP, Gene Ontology, and KEGG pathway assessments.
  • Findings highlight the role of specific immune cells, like M1 macrophages, in relation to identified biomarkers.

Cite This Study

Chaosheng et al. (2025) studied this question.

synapsesocial.com/papers/68af494dad7bf08b1ead4ddahttps://doi.org/10.1186/s12967-025-06838-z
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