Differentially expressed genes (DEGs) were identified using the limma package. 
limma
Principal component analysis was performed using Minitab, and DEGs in the top three principal components were clustered into different gene sets by the mclust package. 
Minitab
Principal component analysis was performed using Minitab, and DEGs in the top three principal components were clustered into different gene sets by the mclust package. 
mclust
Using the xgboost package, an XGBoost classifier specific for BE was further constructed based on the key genes.  The XGBoost classifier constructed using the key genes was efficient and robust in BE prediction.  Key genes may serve as novel biomarkers of BE, and the XGBoost classifier may contribute to the diagnosis of BE in future clinical practice.
xgboost