Table 2.
Average classification performance for breast cancer subtype classification using different omics datasets
Multi-omics | Single omics | ||||||
---|---|---|---|---|---|---|---|
Gene + methyl + microRNA | Gene + methyl | Gene + microRNA | Methyl + microRNA | Gene | Methyl | MicroRNA | |
Accuracy | 0.909 | 0.865 | 0.889 | 0.820 | 0.863 | 0.817 | 0.85 |
F1-score | 0.908 | 0.857 | 0.886 | 0.807 | 0.852 | 0.806 | 0.842 |
p-value | – | < 0.05 | < 0.05 | < 0.01 | < 0.05 | < 0.01 | < 0.01 |
Wilcoxon signed rank test was performed using the performance results using all three omics dataset and results from each combination of different omics dataset