CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancer

Table 4 Performance of one-vs-rest binary classifiers

	Luminal A	Luminal B	HER2	Basal-like	Average
	Accuracy
SVM-RMES	0.9366	0.8722	0.9627	0.9907	0.9405
SVM-Gene expression	0.9104	0.8741	0.9664	0.9841	0.9338
SVM-Gene expression (Hallmarks)	0.9291	0.8657	0.958	0.9888	0.9354
COSSY	0.8871	0.7836	0.9067	0.9813	0.8897
Dominant Class Prediction	0.6353	0.6549	0.8983	0.8116	0.75
	F1-Score
SVM-RMES	0.913	0.8105	0.7959	0.9747	0.8736
SVM-Gene expression	0.8772	0.8143	0.8378	0.958	0.8719
SVM-Gene expression (Hallmarks)	0.9033	0.8	0.7887	0.9698	0.8655
COSSY	0.8428	0.8542	0.3101	0.9506	0.7394
Dominant Class Prediction	0	0	0	0	0

ISSN: 1755-8794