From: Identification of differentially expressed genes by means of outlier detection
nX=nY=30 | ||||||
n | 50 | 100 | ||||
Δ | 1.5 | 2 | 3 | 1.5 | 2 | 3 |
A | 0.998 | 0.998 | 0.997 | 0.998 | 0.997 | 0.995 |
(0.002) | (0.001) | (0.002) | (0.001) | (0.002) | (0.003) | |
B | 0.995 | 0.993 | 0.993 | 0.997 | 0.993 | 0.993 |
(0.002) | (0.000) | (0.000) | (0.003) | (0.000) | (0.000) | |
C | 0.994 | 0.993 | 0.993 | 0.996 | 0.993 | 0.993 |
(0.003) | (0.000) | (0.000) | (0.002) | (0.000) | (0.000) | |
nX=nY=30 | nX=30, nY=10 | |||||
n | 200 | 50 | ||||
Δ | 1.5 | 2 | 3 | 1.5 | 2 | 3 |
A | 0.996 | 0.997 | 0.993 | 0.974 | 0.996 | 0.998 |
(0.000) | (0.000) | (0.000) | (0.001) | (0.001) | (0.001) | |
B | 0.997 | 0.992 | 0.992 | 0.967 | 0.996 | 0.993 |
(0.003) | (0.001) | (0.000) | (0.011) | (0.003) | (0.001) | |
C | 0.998 | 0.992 | 0.992 | 0.940 | 0.994 | 0.993 |
(0.002) | (0.001) | (0.000) | (0.016) | (0.003) | (0.001) | |
nX=30, nY=10 | ||||||
n | 100 | 200 | ||||
Δ | 1.5 | 2 | 3 | 1.5 | 2 | 3 |
A | 0.973 | 0.994 | 0.998 | 0.959 | 0.992 | 0.997 |
(0.001) | (0.002) | (0.003) | (0.000) | (0.000) | (0.000) | |
B | 0.981 | 0.997 | 0.993 | 0.993 | 0.998 | 0.992 |
(0.006) | (0.003) | (0.000) | (0.002) | (0.002) | (0.000) | |
C | 0.946 | 0.995 | 0.993 | 0.960 | 0.996 | 0.992 |
(0.010) | (0.003) | (0.000) | (0.007) | (0.002) | (0.000) | |
nX=nY=10 | ||||||
n | 50 | 100 | ||||
Δ | 1.5 | 2 | 3 | 1.5 | 2 | 3 |
A | 0.925 | 0.974 | 0.998 | 0.921 | 0.971 | 0.997 |
(0.014) | (0.011) | (0.011) | (0.010) | (0.001) | (0.008) | |
B | 0.894 | 0.980 | 0.994 | 0.931 | 0.989 | 0.994 |
(0.023) | (0.009) | (0.001) | (0.013) | (0.004) | (0.002) | |
C | 0.859 | 0.959 | 0.994 | 0.865 | 0.960 | 0.994 |
(0.023) | (0.015) | (0.001) | (0.016) | (0.009) | (0.002) | |
nX=nY=10 | ||||||
n | 200 | |||||
Δ | 1.5 | 2 | 3 | |||
A | 0.900 | 0.956 | 0.996 | |||
(0.002) | (0.001) | (0.001) | ||||
B | 0.968 | 0.996 | 0.993 | |||
(0.007) | (0.001) | (0.003) | ||||
C | 0.876 | 0.974 | 0.995 | |||
(0.017) | (0.007) | (0.003) |