iEnhancer-ECNN: identifying enhancers and their strength using ensembles of convolutional neural networks

BMC Genomics

Table 5 Comparative analysis between results of the proposed method and other studies

	Method	ACC	AUC	SN	SP	MCC	Source
Enhancer Identification	iEnhancer-2L	0.730	0.806	0.710	0.750	0.460	Liu et al., 2016
	EnhancerPred	0.740	0.801	0.735	0.745	0.480	Jia and He, 2016
	iEnhancer-EL	0.748	0.817	0.710	0.785	0.496	Liu et al., 2018
	iEnhancer-ECNN	0.769	0.832	0.785	0.752	0.537	This study
Enhancer Classification	iEnhancer-2L	0.605	0.668	0.470	0.740	0.218	Liu et al., 2016
	EnhancerPred	0.550	0.579	0.450	0.650	0.102	Jia and He, 2016
	iEnhancer-EL	0.610	0.680	0.540	0.680	0.222	Liu et al., 2018
	iEnhancer-ECNN	0.678	0.748	0.791	0.564	0.368	This study

ISSN: 1471-2164