Table 1.
Means and standard derivations of AUC values of prediction on simulation data sets with different signal-to-noise levels for netSVM, other network-based methods and gene-based methods.
SNR (db) |
network-based method | gene-based method | ||||
---|---|---|---|---|---|---|
netSVM | F∞-norm SVM | Larsnet | SVM | Lasso | LDA | |
10 | 1.00 ± 0.00 | 1.00 ± 0.00 | 0.62 ± 0.07 | 1.00 ± 0.00 | 0.61 ± 0.04 | 1.00 ± 0.00 |
8 | 1.00 ± 0.00 | 1.00 ± 0.00 | 0.60 ± 0.05 | 1.00 ± 0.00 | 0.59 ± 0.05 | 1.00 ± 0.00 |
6 | 1.00 ± 0.00 | 1.00 ± 0.00 | 0.58 ± 0.05 | 1.00 ± 0.00 | 0.57 ± 0.05 | 1.00 ± 0.00 |
4 | 1.00 ± 0.00 | 1.00 ± 0.00 | 0.57 ± 0.05 | 1.00 ± 0.00 | 0.56 ± 0.03 | 1.00 ± 0.00 |
2 | 1.00 ± 0.00 | 1.00 ± 0.00 | 0.57 ± 0.03 | 1.00 ± 0.00 | 0.55 ± 0.04 | 1.00 ± 0.00 |
0 | 1.00 ± 0.00 | 1.00 ± 0.00 | 0.58 ± 0.03 | 1.00 ± 0.00 | 0.57 ± 0.04 | 0.99 ± 0.01 |
-2 | 0.99 ± 0.01 | 0.98 ± 0.01 | 0.57 ± 0.03 | 0.99 ± 0.01 | 0.56 ± 0.04 | 0.98 ± 0.01 |
-4 | 0.99 ± 0.01 | 0.94 ± 0.03 | 0.58 ± 0.04 | 0.97 ± 0.02 | 0.57 ± 0.04 | 0.93 ± 0.01 |
-6 | 0.95 ± 0.02 | 0.88 ± 0.04 | 0.58 ± 0.03 | 0.93 ± 0.03 | 0.56 ± 0.04 | 0.88 ± 0.03 |
-8 | 0.88 ± 0.03 | 0.81 ± 0.05 | 0.57 ± 0.04 | 0.81 ± 0.04 | 0.56 ± 0.04 | 0.83 ± 0.02 |
-10 | 0.82 ± 0.04 | 0.73 ± 0.05 | 0.56 ± 0.04 | 0.75 ± 0.03 | 0.57 ± 0.05 | 0.76 ± 0.02 |