Table 3. Method comparison on Testing-A and Testing-B of hg19.
Testing-A | Testing-B | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
SES(%) | SPC(%) | ACC(%) | MCC(%) | AUC(%) | SES(%) | SPC(%) | ACC(%) | MCC(%) | AUC(%) | |
CPC | 97.62 | 67.23 | 82.425 | 68.069 | 94.55 | 97.328 | 69.262 | 82.831 | 68.898 | 94.78 |
CPAT | 85.28 | 94.60 | 89.94 | 80.23 | 95.17 | 83.941 | 95.223 | 89.768 | 79.896 | 95.14 |
lncRScan-SVM | 89.20 | 93.88 | 91.54 | 83.17 | 96.39 | 88.215 | 94.479 | 91.45 | 82.985 | 96.39 |
iSeeRNA | 87.97 | 92.32 | 90.13 | 80.36 | 95.33 | 87.04 | 92.965 | 90.082 | 80.238 | 95.28 |
iSeeRNA2 | 90.02 | 92.409 | 91.205 | 82.44 | 96.23 | 89.103 | 92.885 | 91.045 | 82.106 | 96.18 |
RNAcon | 69.11 | 84.53 | 76.82 | 54.29 | 86.11 | 68.039 | 85.454 | 77.034 | 54.475 | 86.1 |
CPC and CPAT were run by submitting the GTF files of Testing-A and Testing-B through their web interfaces. The lncRScan-SVM predictor was run after feature scaling. Besides, we tested the default iSeeRNA predictor and iSeeRNA2, an iSeeRNA model re-trained on Training-A, as well as RNAcon with a parameter T equals 0. The biggest value in each column is in bold font while the smallest one is underlined.