TABLE 2.
The performance of models based on different negative data set constructions
| Negative data set construction | 5-fold cross-validationa |
Independent testa
|
||
|---|---|---|---|---|
| AUC | AUPRC | AUC | AUPRC | |
| Randomly selected genes | 0.751 ± 0.003 | 0.554 ± 0.010 | 0.703 ± 0.013 | 0.483 ± 0.011 |
| DAGs | 0.662 ± 0.007 | 0.494 ± 0.011 | 0.552 ± 0.009 | 0.405 ± 0.011 |
| HDFs from other viruses | 0.625 ± 0.005 | 0.435 ± 0.008 | 0.539 ± 0.005 | 0.372 ± 0.005 |
| Essential genes | 0.703 ± 0.003 | 0.554 ± 0.010 | 0.762 ± 0.005 | 0.654 ± 0.012 |
| Genes with similar T cell expression levels to HDFs | 0.650 ± 0.002 | 0.461 ± 0.006 | 0.626 ± 0.009 | 0.441 ± 0.013 |
| Genes with similar network degrees as HDFs | 0.584 ± 0.003 | 0.399 ± 0.002 | 0.597 ± 0.002 | 0.401 ± 0.002 |
The measurements are based on five different repeats of negative sample selections, which are reported as average ± SD.