|
Comparison of RMSEs by using the global method, the lowess method, and the adaptive method for normalization with real data. |
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| Case |
Array ID |
Global |
Lowess |
Adaptive |
|
|
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| 1 |
svcc134 |
1.082 |
0.600 |
0.315 |
| 2 |
svcc104 |
1.023 |
0.601 |
0.508 |
| 3 |
svcc120 |
1.005 |
0.552 |
0.435 |
| 4 |
svcc64 |
0.999 |
0.593 |
0.516 |
| 5 |
svcc106 |
0.967 |
0.704 |
0.128 |
| 6 |
svcc89 |
1.018 |
0.593 |
0.284 |
| 7 |
svcc109 |
1.014 |
0.577 |
0.264 |
| 8 |
svcc103 |
1.011 |
0.653 |
0.138 |
| 9 |
svcc98 |
1.022 |
0.631 |
0.159 |
| 10 |
svcc82 |
1.017 |
0.567 |
0.529 |
| Average RMSE |
1.016 |
0.607 |
0.328 |
|
Zhao et al. BMC Bioinformatics 2005 6:28 doi:10.1186/1471-2105-6-28 |
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