Research Article
An Efficient Approach to Screening Epigenome-Wide Data
Table 3
Simulation results for selecting
important variables among 2,000 candidates including surrogate variables across 200 subjects.
| Statistics | Bon | FDR | TT | Bon | FDR | TT |
| Random error normally distributed |
| | | | # incorrect | 7 | 6 | 6 | 77 | 43 | 41 | Sensitivity | 0.292 | 0.423 | 0.475 | 0.227 | 0.605 | 0.641 | Specificity | 1 | 1 | 1 | 1 | 0.998 | 0.997 |
| | | | # incorrect | 165 | 87 | 93 | 361 | 214 | 244 | Sensitivity | 0.175 | 0.616 | 0.571 | 0.099 | 0.565 | 0.432 | Specificity | 1 | 0.994 | 0.996 | 1 | 0.975 | 0.989 |
| Random error distributed (df = 1) |
| | | | # incorrect | 9 | 8 | 7 | 88 | 62 | 55 | Sensitivity | 0.126 | 0.193 | 0.307 | 0.124 | 0.408 | 0.498 | Specificity | 1 | 1 | 1 | 1 | 0.998 | 0.997 |
| | | | # incorrect | 182 | 123 | 119 | 380 | 274 | 288 | Sensitivity | 0.093 | 0.422 | 0.435 | 0.051 | 0.377 | 0.314 | Specificity | 1 | 0.996 | 0.997 | 1 | 0.985 | 0.992 |
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Bon: Bonferroni, FDR: false discovery rate, and TT: training and testing. Cutoff percentage of 20%.
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