Data set | A.U.C |
|---|
3_08_1506 | 79% |
3_07_551 | 77% |
3_06_116 | 76% |
4_08_1226 | 76% |
4_07_447 | 78% |
4_06_102 | 77% |
5_08_778 | 77% |
5_07_280 | 77% |
5_06_62 | 75% |
6_08_544 | 76% |
6_07_202 | 76% |
6_06_62 | 76% |
Li_849 | 76% |
LiFlank_849 | 80% |
- The AUC score is shown for each of the 14 PSWM sets when predicting operons using the positive and negative examples of operon members of E. coli. Data set nomenclature x_y_z refers to: x, Poisson distribution dimer significance threshold (-log10 P >) or Data set, y, Clustering threshold, and z, the number of clusters/PSWMs in data set (see also methods and text).
