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

Table 5

The performances of different features in length 19.

Features	Sn (%)	Sp (%)	F1	MCC
Binary encoding	56.36	75.56	0.6234	0.3252
AA composition	64.77	62.79	0.6413	0.2756
Grouping AA composition	71.75	71.85	0.7178	0.4359
Physicochemical properties	75.36	73.73	0.7475	0.4910
KNN features	74.87	65.63	0.7157	0.4068
Secondary tendency structure	69.85	77.38	0.7258	0.4736
PSSM	71.17	79.29	0.7418	0.5062
BPB	72.68	78.45	0.7484	0.5121
Proposed algorithm	81.01	80.09	0.8064	0.6111