R-script for single-cell RNA-seq data analysis

R script for single-cell RNA-seq data analysis. The code includes steps for quality control, normalization using SCTransform, dimensional reduction (PCA and UMAP), clustering, differential gene expression analysis, and visualization of marker genes. Integration workflows were performed to combine control and LT-treated organoid datasets, followed by annotation of epithelial subtypes based on established marker genes. Additional scripts generate figures such as UMAP projections, heatmaps, dot plots, and violin plots.