| k = 1, T = 10 | k = 1, T = 20 | k = 1, T = 50 |
---|
| Precision | Recall | F-measure | Precision | Recall | F-measure | Precision | Recall | F-measure |
---|
KAOS |
0.348
|
0.348
|
0.348
|
0.267
|
0.267
|
0.267
| 0.162 | 0.162 | 0.162 |
Zodet | 0.232 | 0.232 | 0.232 | 0.243 | 0.243 | 0.243 |
0.220
|
0.220
|
0.220
|
GTI | 0.182 | 0.182 | 0.182 | 0.175 | 0.175 | 0.175 | 0.146 | 0.146 | 0.146 |
Khotary et al. | - | 0.038 | - | 0.114 | 0.032 | 0.050 | 0.121 | 0.012 | 0.022 |
- The comparison of Kaos performances is based on 50 simulations on a synthetic dataset made of 1000 genes expression values for 30 cases and 30 cancer test samples. The expression values were drawn from a normal distribuion with mean 7 and standard deviation 1, where k samples which have been marked as outliers’ samples (see Methods section for further details) and T is the top T number of outlier genes found. The table shows average Precision, Recall and F-Measure for k =1 and t ranging from 10 to 50
- In bold are reported the values obtained by the best performing tool in the different conditions