Table 1.
Empirical type-I error rate and power for bipolar methylation detection
| τ =0 | Type-I error ∗ | Power | ||||
|---|---|---|---|---|---|---|
| m =10 | m =20 | m =100 | m =10 | m =20 | m =100 | |
| w=10% | .079 | .075 | .087 | .279 | .580 | .983 |
| w=20% | .090 | .077 | .082 | .590 | .875 | .997 |
| w=30% | .082 | .080 | .094 | .875 | .976 | .998 |
| w=40% | .084 | .083 | .088 | .887 | .986 | .997 |
| w=50% | .085 | .088 | .088 | .931 | .995 | .998 |
| τ =0 . 32 | Type-I error ∗ | Power | ||||
| m =10 | m =20 | m =100 | m =10 | m =20 | m =100 | |
| w=10% | .032 | .015 | .006 | .275 | .556 | .871 |
| w=20% | .034 | .015 | .004 | .528 | .771 | .984 |
| w=30% | .031 | .017 | .008 | .770 | .937 | .996 |
| w=40% | .027 | .020 | .008 | .778 | .946 | .996 |
| w=50% | .025 | .016 | .006 | .782 | .951 | .997 |
The empirical type-I error rate and power are calculated from 5,000 simulations under significance level 0.05, for different number of reads m and for different cell-type proportion w. In all simulations, we set the threshold parameter δ= 0.35. The type-I error rates∗ for the same m but different w are not the same because we set different methylation probability vectors for different w when generating data under H 0, although these probabilities are all sampled from beta(8, 8).