Development of a 32-gene signature using machine learning for accurate prediction of inflammatory bowel disease

Abstract excerpt

Inflammatory bowel disease (IBD) is a chronic inflammatory condition caused by multiple genetic and environmental factors. Numerous genes are implicated in the etiology of IBD, but the diagnosis of IBD is challenging. Here, XGBoost, a machine learning prediction model, has been used to distinguish IBD from healthy cases following elaborative feature selection. Using combined unsupervised clustering analysis and...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Ferroptosis and cancer prognosis
• Share to Inflammatory Bowel Disease
• Share to Single-cell and spatial transcriptomics