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

Table 8

The performances of different methods in length 21.

Method	Sn (%)	Sp (%)	F1	MCC
DNABIND [34]	71.87	71.78	0.7184	0.4365
DNAbinder [34]	70.97	74.70	0.7232	0.4571
DBD-Threader [35]	58.87	95.52	0.7208	0.5846
DNA-Prot [35]	68.56	81.27	0.7321	0.5024
iDNA-Prot [36]	78.70	76.20	0.7773	0.5492
DBPPred [37]	80.19	75.19	0.7823	0.5545
PLMLA [38]	66.05	70.64	0.6760	0.3673
Phosida [39]	80.33	85.15	0.8231	0.6556
LysAcet [40]	78.36	76.00	0.7745	0.5437
EnsemblePail [41]	77.84	72.47	0.7581	0.5039
PSKAcePred [42]	72.09	70.33	0.7146	0.4243
BRABSB [43]	81.30	73.06	0.7809	0.5455
SSPKA [44]	76.10	80.55	0.7783	0.5670
Proposed algorithm	83.07	80.50	0.8201	0.6359