Optimality

0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
Model 1
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 3
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 5
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 7
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 9
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Massive multiple hypotheses testing 71
0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
0.0 0.2 0.4 0.6 0.8 1.0
Model 2
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 4
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 6
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 8
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Model 10
0.0 0.1 0.2 0.3 0.4 0.5
FDR^
0.6 0.7 0.8 0.9 1.0
Fig 5. FNDP � vs. �FDR for Benjamini and Hochberg [3] adaptive FDR control (solid line and
bullet) and q-value FDR control (dotted line and circle) when FDR control levels are set at 1%,
5%, 10%, 15%, 20%, 30%, 40%, 60%, and 70%. For each model FNDP � vs. �FDR of the adaptive
API procedure occupies one point on the plot, indicated by a diamond.