Table 1.
Comparison of MA2C with other algorithms using a spike-in experiment with a total of 96 regions and 47 unique non-overlapping regions
| Algorithm | CHIP_ID | PPV | Sensitivity | Unique | Correlation |
| ChIPOTle | 49875 | 71% | 85% | 40 | 0.72 |
| 49880 | 69% | 98% | 47 | 0.76 | |
| 49883 | 73% | 98% | 47 | 0.79 | |
| MPeak | 49875 | 100% | 91% | 46 | 0.74 |
| 49880 | 96% | 89% | 46 | 0.71 | |
| 49883 | 98% | 89% | 46 | 0.79 | |
| MA2C | 49875 | 99% | 91% | 47 | 0.78 |
| (C = 2 normalized) | 49880 | 96% | 94% | 47 | 0.79 |
| 49883 | 99% | 95% | 47 | 0.81 | |
| All 3 | 96% | 96% | 47 | 0.81 | |
| MA2C | 49875 | 99% | 92% | 46 | 0.77 |
| (Global median-scaled) | 49880 | 100% | 93% | 46 | 0.79 |
| 49883 | 99% | 92% | 46 | 0.81 | |
| All 3 | 100% | 95% | 47 | 0.80 |
PPV (positive predictive value) = no. of true positive peaks/no. of total peaks. Sensitivity = no. of detected true positive regions/96. Unique = number of unique regions found. Correlation = correlation coefficient of the spike-in log fold-changes and algorithm-assigned scores for the 47 unique regions.