Fig. 2
From: Improving data interpretability with new differential sample variance gene set tests
Simulated data estimates of detection power against specific alternative hypotheses. Panels A and B show the power when minimum spanning tree order K = 1, 2, and 3. Panel C shows high detection power achieved by methods that used the radial ranking with K = 3 (RKS3, RMD3, RCVM3, and RAD3) and negligible power by methods that used the highdirected preorder ranking (KS, MD, CVM, and AD) against differential variance fold-change σ when σX ≠ σY. Panel D shows high detection power achieved by methods that used the high directed preorder ranking and negligible power by methods that used the radial ranking against differential mean shift µ when µX ≠ µY. Sample size N = 40, gene set size p = 60, proportion of genes with true difference γ = 0.5, and intergene correlation r = 0.1