Table 5 Classification accuracy of different features. The five classification features of classification accuracy were shown, the first row refers to the classification accuracy of HSCDMs, the other four rows were the classification accuracy of individual gene sets classification method. BC represents breast cancer

From: Identification of breast cancer patients based on human signaling network motifs

Feature

GSE5364

GSE9574

GSE15852

GSE20437

GSE27562

Motifs

0.9745

0.8276

0.8488

0.8095

0.9592

Motifs’ genes

0.9592

0.6552

0.8372

0.7857

0.9456

BC genes

0.9490

0.5517

0.7093

0.6905

0.8639

Marker genes

0.9694

0.6552

0.7674

0.6667

0.9184

BC & Marker genes

0.9745

0.5862

0.8488

0.6905

0.9184