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Table 1 A comparison of our proposed model to other models

From: A co-expression network for differentially expressed genes in bladder cancer and a risk score model for predicting survival

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
  1. Note: NA represents “not available”, Ref. represents References