Predicting diagnostic biomarkers associated with immune infiltration in Crohn's disease based on machine learning and bioinformatics

• Published in: European journal of medical research Vol. 28; no. 1; p. 255
• Main Authors: Bao, Wenhui, Wang, Lin, Liu, Xiaoxiao, Li, Ming
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 26.07.2023; BioMed Central; BMC
• Subjects: Bioinformatics; Biological markers; Biomarkers; Colon; Crohn's disease; Crohns disease; Development and progression; Disease prevention; Gastrointestinal diseases; Gene expression; Genes; GEO; Homeostasis; Immune infiltration; Immune system; Inflammation; Killer cells; Localization; Lymphocytes; Machine learning; Medical diagnosis; Medical research; Medicine, Experimental; Pathogenesis; Small intestine; Support vector machines; T cells; Taiwan; GEO; Biomarkers; Crohn's disease; Immune infiltration; Machine learning

The objective of this study is to investigate potential biomarkers of Crohn's disease (CD) and the pathological importance of infiltration of associated immune cells in disease development using machine learning. Three publicly accessible CD gene expression profiles were obtained from the GEO d...