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 |