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

Table 7

The performances of different features in length 21.

Features	Sn (%)	Sp (%)	F1	MCC
Binary encoding	57.25	77.00	0.6352	0.3493
AA composition	65.01	63.51	0.6452	0.2852
Grouping AA composition	72.31	72.11	0.7224	0.4443
Physicochemical properties	75.80	74.22	0.7521	0.5003
KNN features	75.35	66.29	0.7208	0.4181
Secondary tendency structure	70.49	78.43	0.7340	0.4907
PSSM	72.12	79.41	0.7485	0.5167
BPB	72.92	78.56	0.7504	0.5157
Proposed algorithm	83.07	80.50	0.8201	0.6359