CirBiTree: Citrullination Site Inference Based on a Fuzzy Neural Network and Flexible Neural Tree

Table 6

The performances of different methods in length 19.

Method	Sn (%)	Sp (%)	F1	MCC
DNABIND [34]	69.64	70.86	0.7007	0.4051
DNAbinder [34]	69.75	73.56	0.7110	0.4334
DBD-Threader [35]	57.63	94.66	0.7073	0.5630
DNA-Prot [35]	67.72	80.64	0.7240	0.4877
iDNA-Prot [36]	76.69	75.48	0.7623	0.5218
DBPPred [37]	79.32	74.79	0.7756	0.5416
PLMLA [38]	65.61	69.49	0.6691	0.3513
Phosida [39]	78.58	84.77	0.8109	0.6346
LysAcet [40]	77.33	75.00	0.7644	0.5234
EnsemblePail [41]	77.20	72.20	0.7532	0.4946
PSKAcePred [42]	70.99	69.66	0.7052	0.4065
BRABSB [43]	81.07	72.12	0.7760	0.5341
SSPKA [44]	75.72	79.48	0.7717	0.5524
Proposed algorithm	81.01	80.09	0.8064	0.6111