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

Table 1

The performances of different features in length 15.

Features	Sn (%)	Sp (%)	F1	MCC
Binary encoding	55.36	75.25	0.6147	0.3123
AA composition	62.87	60.53	0.6214	0.2341
Grouping AA composition	68.33	71.94	0.6959	0.4030
Physicochemical properties	72.06	73.04	0.7241	0.4510
KNN features	74.37	65.70	0.7128	0.4023
Secondary tendency structure	66.47	77.09	0.7019	0.4380
PSSM	67.75	76.75	0.7095	0.4469
BPB	71.06	76.29	0.7297	0.4741
Proposed algorithm	78.19	79.28	0.7862	0.5747