A lactylation modification-related prediction model for the diagnosis of ulcerative colitis based on machine learning

By applying machine learning methods to analyze sequencing data, we identified core lactylation-related genes in UC and developed a diagnostic model with high predictive performance. Furthermore, based on scRNA-seq data, we investigated lactylation modifications across seven types of immune cells in UC patients, providing valuable insights into the interplay between lactylation and immune cells in UC.