Table 8 AUC mean values for Simulation study 2, with nX=nY=30 and 100 runs
From: Identification of differentially expressed genes by means of outlier detection
nX=nY=30 | ||||||
1 block | 2 blocks | |||||
Nb. DE genes | 5 | 20 | 100 | 5 | 20 | 50 |
ORdensity | 0.995 | 0.995 | 0.980 | 0.993 | 0.998 | 0.985 |
(0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
limma | 0.701 | 0.854 | 0.903 | 0.796 | 0.789 | 0.917 |
(0.0004) | (0.001) | (0.001) | (0.000) | (0.001) | (0.045) | |
SAM | 0.701 | 0.854 | 0.902 | 0.796 | 0.789 | 0.918 |
(0.001) | (0.001) | (0.00002) | (0.000) | (0.0003) | (0.045) | |
3 block | ||||||
Nb. DE genes | 5 | 20 | 50 | |||
ORdensity | 0.983 | 0.997 | 0.990 | |||
(0.002) | (0.000) | (0.000) | ||||
limma | 0.982 | 0.997 | 0.990 | |||
(0.001) | (0.003) | (0.069) | ||||
SAM | 0.825 | 0.994 | 0.876 | |||
(0.000) | (0.003) | (0.070) | ||||