Network-Based Logistic Classification with an Enhanced Solver Reveals Biomarker and Subnetwork Signatures for Diagnosing Lung Cancer

Table 1

Simulation results of the enhanced net, net, net, and Elastic net, respectively.

Model	Misclassification errors (%)				Sensitivity (%)				Specificity (%)
	Eh_			Elastic	Eh_			Elastic	Eh_			Elastic
1	9.22	9.85	11.81	13.12	0.985	0.971	0.968	0.873	0.969	0.970	0.962	0.981
	(0.36)	(0.31)	(0.41)	(0.12)	(0.00)	(0.00)	(0.02)	(0.00)	(0.00)	(0.01)	(0.01)	(0.00)
2	10.76	10.83	13.21	14.14	0.939	0.939	0.943	0.835	0.987	0.981	0.987	0.980
	(0.33)	(0.36)	(0.24)	(0.23)	(0.00)	(0.00)	(0.01)	(0.00)	(0.02)	(0.01)	(0.01)	(0.00)

Simulation results (averaged over 100 runs) for comparison of misclassification errors, sensitivity, and specificity used the enhanced net, net, net, and the Elastic net, respectively. The standard errors are given in parentheses.