Table 1 A comparison of our proposed model to other models
Author (Year) | Ref. | Predicted survival rate (Year) | AUC/samples (Training dataset) | AUC/samples (Testing dataset) | Number of genes | Genes |
|---|---|---|---|---|---|---|
Our study | NA | 3 | 0.635/n = 404 | 0.711/n = 165 | 2 | P3H4; TPST1 |
H. Zhou et al. (2015) | [36] | 5 | 0.74/84 | NA/NA | 8 | miR-141-3p; miR-200c-3p; miR-21-5p; miR-145-5p; miR-125b-5p; miR-199a-5p; let-7c; miR-99a-5p |
F. Peng et al. (2017) | [37] | 5 | 0.664/n = 189 | 0.681/n = 188 | 3 | hsa-mir-337; hsa-mir-3913-2; hsa-mir-497 |
Q. Liu et al. (2017) | [38] | 3 | 0.647/NA | NA/NA | 3 | RCOR1; ST3GAL5; COL10A1 |
C. Liu et al. (2018) | [39] | 5 | 0.83/n = 119; | 0.68/n = 120 | 6 | ACADS; C1QTNF9B; RP11-60 L3.1; CTD-3195I5.3; has-miR-3913-1; has-miR-891a |
J. Chu et al. (2018) | [40] | 3 | 0.615/ n = 407 | NA/ NA | 7 | ZNF230; BCL2L14; AHNAK; TMEM109; APOL2; AGER; AOC2 |
Z. Xu et al. (2019) | [41] | NA | 0.735/ n = 412 | NA/ NA | 11 | MXRA7; EMP1; TNFA1P8L3; SERPINB12; SAPCD1; GABRG1; PLEKHG4B; ABCA4; PTPRR; XAGE2; PEX5L |