Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach

BMC Bioinformatics

Table 2 Performance metrics for each feature set obtained using BGWO_SA_Ens in Merged Dataset and GSE45827

Fset	Dataset	NF	FV \(^{1}\)	F1	PR-AUC	ROC-AUC
Fset1	Merged Dataset	1610	0.059	0.942	0.984	0.953
Fset2	Merged Dataset	2027	0.063	0.936	0.981	0.946
Fset3	Merged Dataset	1864	0.059	0.931	0.964	0.873
Fset4	Merged Dataset	3055	0.072	0.791	0.981	0.955
Fset5	Merged Dataset	1900	0.058	0.931	0.963	0.872
Fset6	Merged Dataset	3108	0.064	0.794	0.978	0.938
Fset7 \(^{2}\)	Merged Dataset	1404	0.044	0.981	0.998	0.995
Fset8	Merged Dataset	3255	0.061	0.791	0.967	0.879
Fset9	Merged Dataset	1763	0.051	0.769	0.958	0.857
Fset10	Merged Dataset	3134	0.061	0.791	0.980	0.948
Fset1	GSE45827	3018	0.059	0.910	0.978	0.956
Fset2 \(^{2}\)	GSE45827	1710	0.046	0.965	0.986	0.972
Fset3	GSE45827	2100	0.061	0.914	0.968	0.939
Fset4	GSE45827	3914	0.063	0.879	0.969	0.954
Fset5	GSE45827	1636	0.051	0.901	0.976	0.959
Fset6	GSE45827	2126	0.047	0.931	0.977	0.956
Fset7	GSE45827	3222	0.061	0.910	0.973	0.948
Fset8	GSE45827	2219	0.047	0.936	0.978	0.956
Fset9	GSE45827	2670	0.049	0.958	0.977	0.955
Fset10	GSE45827	3899	0.060	0.892	0.973	0.947

ISSN: 1471-2105