BMC Genomics

Table 1 Performance results of distinguishing adaptor proteins with different methods

From: Classification of adaptor proteins using recurrent neural networks and PSSM profiles

Method	Cross Validation					Independent Test
	Sensitivity	Specificity	Accuracy	AUC	MCC	Sensitivity	Specificity	Accuracy	AUC	MCC
k-NN	0.635	0.750	0.738	0.770	0.254	0.671	0.751	0.743	0.791	0.280
RF	0.185	0.968	0.890	0.837	0.214	0.290	0.923	0.860	0.838	0.216
SVM	0.397	0.934	0.881	0.818	0.332	0.426	0.932	0.881	0.806	0.353
CNN	0.532	0.875	0.841	0.774	0.328	0.548	0.873	0.841	0.783	0.339
RNN	0.812	0.751	0.757	0.853	0.373	0.856	0.798	0.804	0.893	0.446

(k-NN: k=10; RF: num_stimators=500; SVM: c=8.0, g=0.5; CNN: 128 filters; RNN: 512 filters)

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ISSN: 1471-2164

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