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

Table 2

The performances of different methods in length 15.

Method	Sn (%)	Sp (%)	F1	MCC
DNABIND [34]	69.27	67.93	0.6881	0.3720
DNAbinder [34]	68.37	73.68	0.7024	0.4211
DBD-Threader [35]	54.49	93.31	0.6761	0.5187
DNA-Prot [35]	64.96	79.49	0.7005	0.4492
iDNA-Prot [36]	73.26	73.07	0.7319	0.4633
DBPPred [37]	77.01	72.28	0.7523	0.4934
PLMLA [38]	65.67	69.11	0.6682	0.3480
Phosida [39]	75.55	83.34	0.7862	0.5908
LysAcet [40]	74.14	73.71	0.7398	0.4785
EnsemblePail [41]	74.87	70.17	0.7315	0.4509
PSKAcePred [42]	68.47	67.60	0.6817	0.3607
BRABSB [43]	78.41	69.87	0.7520	0.4846
SSPKA [44]	74.40	78.69	0.7603	0.5313
Proposed algorithm	78.19	79.28	0.7862	0.5747