Table 2. Construction of prediction models using miRNAs.
Number of miRNAs | Sensitivity | Specificity | Accuracy | AUC |
---|---|---|---|---|
1a | 0.92 | 0.27 | 0.50 | 0.62 |
2b | 0.79 | 0.53 | 0.62 | 0.72 |
3c | 0.77 | 0.60 | 0.66 | 0.74 |
5d | 0.83 | 0.62 | 0.69 | 0.76 |
6e | 0.69 | 0.76 | 0.73 | 0.77 |
7f | 0.69 | 0.77 | 0.74 | 0.78 |
8g | 0.69 | 0.82 | 0.76 | 0.79 |
a. (-0.0239)*miR-575–0.4624.
b. (-0.04785)*miR-575+(-0.01639)*miR-3160-5p -0.18945.
c. (-0.004077)*miR-296-3p+(-0.09225)*miR-575+(-0.050573)*miR-3160-5p +0.377653.
d. (-0.004538)*miR-8089+(-0.090765)*miR-296-3p+(-0.184948)*miR-575+(-0.00378)*miR-4710+(-0.106025)*miR-3160-5p +2.096777.
e. (-0.056646)*miR-8089+(-0.002592)*miR-4755-3p+(-0.115385)*miR-296-3p+(-0.220128)*miR-575+(-0.015284)*miR-4710+(-0.11774)*miR-3160-5p +3.061642.
f. (-0.002883)*miR-4483+(-0.079497)*miR-8089+(-0.005242)*miR-4755-3p+(-0.12544)*miR-296-3p+(-0.237057)*miR-575+(-0.020395)*miR-4710+(-0.122488)*miR-3160-5p +3.51243.
g. (-0.01801)*miR-4483+(-0.14291)*miR-8089+(-0.01134)*miR-4755-3p+(-0.14277)*miR-296-3p+(-0.28373)*miR-575+(-0.03178)*miR-4710+(-0.01287)*miR-5698+(-0.13961)*miR-3160-5p +4.80275.