Table 2.
Performance of the proposed method on the traumatic injury application and comparison with other methods.
| Method | Size | Rand Index | Test Set | |||
|---|---|---|---|---|---|---|
| Error rate | BCM1 | AUPR2 | ||||
| Proposed methods | Sign Avg. & LASSO/CD3 | 32 | 19.58% | 0.351 | 0.605 | 0.626 |
| Sign Avg. & TGDR4 | 30 | 25.21% | 0.378 | 0.590 | 0.662 | |
|
| ||||||
| Existing methods | limma | 47 | 21.40% | 0.432 | 0.542 | 0.628 |
| EDGE | 453 | 13.67% | 0.432 | 0.543 | 0.622 | |
| glmmLASSO | 8 | 34.99% | 0.432 | 0.519 | 0.532 | |
| LASSO/CD separately5 | 28 | 13.59% | 0.486 | 0.498 | 0.508 | |
| TGDR separately6 | 133 | 22.58% | 0.378 | 0.520 | 0.579 | |
| Mean & LASSO/CD7 | 29 | 17.95% | 0.405 | 0.536 | 0.560 | |
|
| ||||||
| Using other summary scores | Mean & TGDR8 | 36 | 27.37% | 0.405 | 0.562 | 0.617 |
| Median & LASSO/CD9 | 22 | 7.76% | 0.351 | 0.543 | 0.617 | |
| Median & TGDR10 | 43 | 18.58% | 0.405 | 0.578 | 0.626 | |
| PC1 & LASSO/CD11 | 3 | 13.59% | 0.405 | 0.504 | 0.541 | |
| PC1 & TGDR12 | 29 | 32.68% | 0.432 | 0.539 | 0.548 | |
1BCM captures the average confidence that a sample belongs to class i when it indeed belongs to that class;
2AUPR is the average of AUPRk for each class and it captures the ability of correctly ranking the samples known to belong in a given class;
3Sign Avg. & LASSO/CD: pseudo genes were obtained by calculating the sign average of a gene's expression values across time, and the feature selection method is LASSO in which the optimization method used is coordinate descent;
4Sign Avg. & TGDR: pseudo genes were obtained by calculating the sign average of a gene's expression values across time, and the feature selection/optimization method is threshold gradient descent regularization;
5LASSO/CD separately: separate LASSO models were trained at individual time points; the optimization method is CD;
6TGDR separately: separate TGDR models were trained at individual time points; the optimization method is TGDR;
7Mean & LASSO/CD: pseudo genes were obtained by calculating the average of a gene's expression values across time, and the optimization method is CD;
8Mean & TGDR: pseudo genes were obtained by calculating the average of a gene's expression values across time, and the optimization method is TGDR;
9Median & LASSO/CD: pseudo genes were obtained by calculating the median of a gene's expression values across time, and the optimization method is CD;
10Median & TGDR: pseudo genes were obtained by calculating the median of a gene's expression values across time, and the optimization method is TGDR;
11PC1 & LASSO/CD: pseudo genes obtained by calculating the first principal component of a gene's expression values across time, and the optimization method is CD;
12PC1 & TGDR: pseudo genes were obtained by calculating the first principal component of a gene's expression values across time, and the optimization method is TGDR.