Table 6.
Realistic synthetic data: mean error in motif width
|
Conservation |
MCOIN (w∗ ± 4) |
E-values (w∗ ± 4) |
||
|---|---|---|---|---|
| (mean bits/col) | MAE | RMSE | MAE | RMSE |
|
2.00 |
1.60 |
2.06 |
1.80 |
2.28 |
|
1.49 |
1.59 |
2.08 |
2.46 |
2.82 |
|
1.08 |
1.97 |
2.42 |
2.16 |
2.51 |
|
0.76 |
2.38 |
2.74 |
1.84 |
2.22 |
| 0.51 | 2.38 | 2.71 | 1.95 | 2.32 |
Mean absolute error (MAE) and root mean squared error (RMSE) for five collections of realistic synthetic data at varying levels of motif conservation. In these tests, the motif discovery algorithm was allowed to run as it would normally.