Table 3 Comparison of the results of the proposed algorithm with other approaches reported previously using the same datasets
From: A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification
Dataset | Method | Reference | Accuracy |
|---|---|---|---|
OvCa | Principal components | Lilien et al, 2003 [25] | 100 |
| Â | Wilcoxon test | Sorace et al, 2003 [53] | 100 |
| Â | Logical analysis of data | Alexe et al, 2004 [35] | 100 |
| Â | Statgram | Zhu et al, 2003 [41] | 100 |
| Â | Genetic algorithm | Petricoin et al, 2002 [19] | 98 |
| Â | Proposed algorithm | Present study | 100 |
LuMe | Gene expression ratios | Gordon et al, 2002 [18] | 99 |
| Â | Proposed algorithm | Present study | 100 |
LLML | Self-organizing maps | Toronen et al, 1999 [40] | 90 |
| Â | Neural networks | Bicciato et al, 2003 [38] | 97 |
| Â | ICED | Bijlani et al, 2003 [65] | 98 |
|  | Support vector machines | Furey et al, 2000 [66] | 88 – 94 |
| Â | Proposed algorithm | Present study | 97 |
BrCa | Correlation | van't Veer et al [20] | 83 |
| Â | Proposed algorithm | Present study | 94 |