Resumen
This study deals with the identification of signature genes through a model using four machine learning algorithms for two cohorts of bulk and single cell RNA seq to predict immune checkpoint blockade (ICB) response in gastric cancer. Through LASSO feature selection, we identified VCAN as a marker gene signature that distinguishes responders from non-responders.