BMC Bioinformatics

Table 3 The performance of different kinds of feature descriptors

From: An improved sequence based prediction protocol for DNA-binding proteins using SVM and comprehensive feature analysis

Descriptor	DNAdset						DNAaset
	Acc	AUC	F-score	Sen	Sp	MCC	Acc	AUC	F-score	Sen	Sp	MCC
OAAC	0.872	0.941	0.856	0.865	0.852	0.716	0.726	0.794	0.742	0.799	0.650	0.451
DPC	0.872	0.925	0.838	0.865	0.809	0.672	0.717	0.784	0.725	0.753	0.682	0.436
SAAC	0.846	0.904	0.826	0.842	0.813	0.651	0.697	0.740	0.701	0.743	0.624	0.369
AAIndex-OCTD	0.845	0.905	0.824	0.828	0.825	0.651	0.743	0.782	0.729	0.766	0.664	0.452
AAindex-AC	0.688	0.745	0.707	0.729	0.680	0.410	0.683	0.734	0.705	0.785	0.559	0.353
AAIndex-SAA	0.870	0.915	0.840	0.869	0.811	0.678	0.708	0.747	0.732	0.808	0.601	0.417
PSSM-OCTD	0.729	0.776	0.721	0.728	0.724	0.452	0.741	0.811	0.742	0.745	0.738	0.483
PSSM-AC	0.786	0.827	0.762	0.771	0.752	0.523	0.742	0.816	0.734	0.725	0.751	0.477
PSSM-SAA	0.872	0.932	0.872	0.903	0.839	0.741	0.761	0.840	0.773	0.797	0.737	0.535
S&F-OCTD	0.723	0.801	0.737	0.714	0.779	0.493	0.719	0.770	0.711	0.726	0.694	0.411
S&F-AC	0.745	0.799	0.729	0.756	0.690	0.446	0.717	0.771	0.701	0.690	0.723	0.413
S&F-SAA	0.712	0.734	0.649	0.627	0.736	0.371	0.711	0.768	0.703	0.710	0.692	0.402

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ISSN: 1471-2105

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