Fig. 3From: moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networksSubtype classification performance integrating multiple omics datasets with different feature selection methods based on tenfold cross validation. For significance testing, Wilcoxon signed rank test was performed using the CpG-cluster-based performance results and results based on the single-CpG for each feature selection method. Notations: ns Not significant; *p-value \(< 0.05\)Back to article page