Expression type | Noise (%) | Log10(P) | C.R. | Log10(P) | C.R. |
|---|
| | | Average | Best |
Linear | 0 | -2.9 | 0.83 | -4.8 | 0.89 |
| | 20 | -2.9 | 0.80 | -4.9 | 0.85 |
| | 40 | -2.7 | 0.73 | -4.5 | 0.78 |
| | 60 | -2.7 | 0.63 | -4.3 | 0.68 |
| | 80 | -2.2 | 0.52 | -3.7 | 0.55 |
Quadratic | 0 | -3.9 | 0.82 | -5.8 | 0.88 |
| | 20 | -3.7 | 0.78 | -5.8 | 0.85 |
| | 40 | -3.6 | 0.73 | -5.5 | 0.77 |
| | 60 | -3.0 | 0.63 | -4.7 | 0.69 |
| | 80 | -2.9 | 0.57 | -4.6 | 0.58 |
- We tested if the tool can correctly recover planted motif combinations, using simulated data sets. We evaluated the results based on P values of the hypergeometric test (see the text). "Linear" and "Quadratic" indicate types of simulated expression levels given by eq. 2 and eq. 3, respectively, and "Noise" indicates the degree of noises added into the simulated expression levels. "Average" and "Best" correspond to the cases of the P value (logarithmically) averaged across the top 10 motif combinations and the best P value among the top 10, respectively (see the text). "Log10(P)" indicates log10 of the P values. "C.R." indicates the contribution rate, which is the proportion of the variance of input expression levels explained by the scores of a motif combination. "Log10(P)" and "C.R." values in each row are averaged across ten data sets.
