Assess students' ability to apply PCA to processed single-cell RNA-seq data: choose appropriate preprocessing (normalization, scaling, feature selection), run PCA, determine the number of informative components using variance-explained plots and statistical criteria, interpret PC loadings to separate biological signal from technical noise, evaluate batch effects, and justify PCA choices for downstream clustering and visualization.