Table 1 |
||||||
|
Number of inferred periodic time series: case 1. The number of inferred periodic time series using the robust method and standard Gaussian noise in the data. p-values were obtained by simulating the distribution of the g-statistic using 10000 time series composed of Gaussian noise. |
||||||
|
q\N |
10 |
20 |
40 |
45 |
50 |
100 |
|
|
||||||
|
0.15 |
0 |
2(1) |
107(90) |
109(96) |
117(99) |
115(100) |
|
0.10 |
0 |
1(1) |
96(87) |
103(94) |
110(98) |
109(100) |
|
0.05 |
0 |
1(0) |
83(79) |
95(89) |
101(96) |
105(100) |
|
0.01 |
0 |
1(0) |
59(59) |
80(79) |
90(89) |
101(100) |
|
0.005 |
0 |
0(0) |
32(32) |
62(61) |
64(64) |
100(100) |
|
Z |
12 |
49 |
89 |
93 |
95 |
100 |
|
|
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|
Ahdesmäki et al. BMC Bioinformatics 2005 6:117 doi:10.1186/1471-2105-6-117 |
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