Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

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

Fig. 3

Subtype 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