Table 1.
Simulation study: summary statistics based on 200 replicates
| nm | # clus | ρ | Meta-analysis |
Intensity approach |
iLB | iSLB | ||
| Enet | LB | Enet | LB | |||||
| Correlation structure: autoregressive | ||||||||
| 30 | 50 | 0.3 | 80, 13, 46 | 70, 10, 44 | 41, 10, 36 | 33, 9, 31 | 32, 15, 20 | 28, 16, 14 |
| 0.7 | 74, 17, 40 | 75, 12, 41 | 29, 14, 20 | 25, 12, 19 | 34, 17, 15 | 24, 17, 12 | ||
| 100 | 0.3 | 97, 8, 47 | 96, 9, 47 | 31, 5, 40 | 44, 6, 41 | 30, 14, 29 | 29, 14, 29 | |
| 0.7 | 93, 10, 43 | 88, 10, 41 | 29, 9, 24 | 32, 10, 20 | 34, 16, 22 | 25, 17, 13 | ||
| 100 | 50 | 0.3 | 105, 23, 34 | 69, 14, 32 | 36, 23, 21 | 39, 12, 25 | 38, 21, 18 | 27, 22, 10 |
| 0.7 | 79, 25, 19 | 65, 15, 21 | 25, 22, 13 | 37, 17, 14 | 42, 23, 12 | 26, 23, 11 | ||
| 100 | 0.3 | 122, 19, 40 | 72, 15, 35 | 24, 17, 25 | 41, 12, 20 | 40, 19, 13 | 29, 21, 10 | |
| 0.7 | 110, 23, 25 | 71, 15, 23 | 30, 21, 14 | 40, 16, 18 | 48, 24, 18 | 29, 22, 12 | ||
| Correlation structure: banded | ||||||||
| 30 | 50 | 0.3 | 85, 13, 36 | 70, 9, 38 | 29, 13, 20 | 32, 9, 23 | 38, 17, 19 | 28, 15, 17 |
| 0.7 | 74, 10, 40 | 91, 10, 38 | 35, 13, 27 | 40, 11, 29 | 35, 20, 16 | 29, 21, 15 | ||
| 100 | 0.3 | 85, 5, 46 | 76, 10, 40 | 40, 11, 23 | 44, 8, 24 | 37, 14, 22 | 25, 18, 20 | |
| 0.7 | 65, 7, 45 | 85, 8, 43 | 25, 8, 34 | 44, 10, 31 | 31, 20, 20 | 27, 15, 19 | ||
| 100 | 50 | 0.3 | 87, 23, 18 | 66, 10, 20 | 32, 20, 12 | 42, 15, 14 | 41, 18, 15 | 29, 19, 9 |
| 0.7 | 98, 26, 26 | 62, 12, 24 | 37, 22, 15 | 40, 13, 17 | 45, 24, 16 | 29, 20, 8 | ||
| 100 | 0.3 | 124, 25, 24 | 68, 13, 29 | 37, 20, 15 | 43, 16, 16 | 43, 18, 17 | 32, 23, 9 | |
| 0.7 | 171, 20, 32 | 72, 18, 28 | 36, 20, 16 | 42, 19, 18 | 51, 21, 19 | 32, 19, 13 | ||
| Correlation structure: compound symmetric | ||||||||
| 30 | 50 | 0.3 | 61, 11, 40 | 51, 12, 31 | 34, 13, 23 | 40, 8, 25 | 34, 19, 19 | 31, 18, 20 |
| 0.7 | 69, 12, 27 | 74, 10, 29 | 33, 12, 14 | 33, 11, 14 | 40, 20, 12 | 20, 15, 8 | ||
| 100 | 0.3 | 84, 7, 43 | 88, 8, 40 | 41, 13, 35 | 44, 10, 36 | 36, 12, 20 | 30, 14, 19 | |
| 0.7 | 58, 7, 36 | 70, 8, 38 | 30, 10, 13 | 34, 9, 15 | 30, 16, 18 | 27, 13, 20 | ||
| 100 | 50 | 0.3 | 101, 26, 22 | 67, 12, 21 | 32, 24, 14 | 41, 10, 17 | 35, 19, 16 | 29, 24, 8 |
| 0.7 | 128, 26, 14 | 62, 13, 19 | 27, 19, 9 | 40, 20, 19 | 43, 24, 23 | 30, 25, 7 | ||
| 100 | 0.3 | 143, 25, 27 | 75, 12, 30 | 36, 23, 14 | 38, 13, 21 | 38, 17, 15 | 26, 19, 12 | |
| 0.7 | 104, 22, 14 | 74, 18, 21 | 28, 18, 10 | 44, 12, 17 | 49, 27, 15 | 26, 22, 9 | ||
nm, sample size of each data set; # clus, number of gene clusters; ρ, correlation coefficient parameter; LB, LogitBoost.
In cells with “a, b, c,” a is the number of genes identified, b is the number of true positives, and c is the number of prediction errors per 100 subjects.