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Table 2 Average classification performance for breast cancer subtype classification using different omics datasets

From: moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks

 

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

  1. Wilcoxon signed rank test was performed using the performance results using all three omics dataset and results from each combination of different omics dataset