From: A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process
When | When | |||||||
---|---|---|---|---|---|---|---|---|
n | v |
| f | MSE | v |
| f | MSE |
3 | 2.8870 | 0.8210 | 0.4034 | 3 | 2.8960 | 0.8630 | 0.2903 | |
12 | 6 | 5.9710 | 0.9040 | 0.3774 | 6 | 5.9510 | 0.9070 | 0.4635 |
9 | 8.7930 | 0.8560 | 1.6906 | 9 | 8.9130 | 0.8940 | 0.8038 | |
5 | 5.0010 | 0.9800 | 0.0230 | 5 | 5.0050 | 0.9910 | 0.0150 | |
20 | 10 | 10.0180 | 0.9800 | 0.0200 | 10 | 10.0110 | 0.9850 | 0.0150 |
15 | 15.0090 | 0.9800 | 0.0310 | 15 | 15.0130 | 0.9810 | 0.0190 | |
8 | 8.0070 | 0.9930 | 0.0070 | 8 | 8.0040 | 0.9960 | 0.0040 | |
32 | 16 | 16.0020 | 0.9900 | 0.0100 | 16 | 16.0000 | 0.9980 | 0.0020 |
24 | 24.0020 | 0.9960 | 0.0040 | 24 | 23.9980 | 0.9980 | 0.0020 | |
10 | 10.0020 | 0.9980 | 0.0020 | 10 | 10.0030 | 0.9970 | 0.0000 | |
40 | 20 | 20.0040 | 0.9960 | 0.0040 | 20 | 20.010 | 0.9990 | 0.0010 |
30 | 30.0000 | 1.0000 | 0.0040 | 30 | 30.0010 | 0.9990 | 0.0010 | |
20 | 20.000 | 1.0000 | 0.0000 | 20 | 20.0000 | 1.0000 | 0.0000 | |
80 | 40 | 40.0000 | 1.0000 | 0.0000 | 40 | 40.0000 | 1.0000 | 0.0000 |
60 | 60.0000 | 1.0000 | 0.0000 | 60 | 60.0000 | 1.0000 | 0.0000 | |
30 | 30.0030 | 0.9970 | 0.0030 | 30 | 30.0000 | 1.0000 | 0.0000 | |
120 | 60 | 60.0000 | 1.0000 | 0.0000 | 60 | 60.0000 | 1.0000 | 0.0000 |
90 | 90.0000 | 1.0000 | 0.0000 | 90 | 90.0000 | 1.0000 | 0.0000 |