Identification and validation of platelet activation-related signatures in ulcerative colitis: a study based on machine learning and single-cell transcriptomic analysis

Background Platelet activation (PA) acts as a molecular bridge connecting thrombosis and inflammation. This study aimed to identify key PA-related genes (PARGs) in ulcerative colitis (UC), and explore their transcriptional associations with immune–stromal dysregulation. Methods Transcriptomic data of UC patients were obtained from the GEO database, and PARGs were retrieved from the MSigDB database. Differential expression analysis, WGCNA, LASSO, SVM-RFE, and random forest algorithms were applied