Table 2.

The identification results of the proposed method based on different modes with Skip-TSSS.

Dataset	Training mode	Acc	Sp	Sn	MCC	AUC
S. cerevisiae ($S_1$)	Default mode	0.969	0.962	0.976	0.939	0.990
	Embedding training mode	0.975	0.966	0.983	0.940	0.975
	Two channel mode	0.972	0.962	0.981	0.944	0.972
S. pombe ($S_2$)	Default mode	0.731	0.741	0.720	0.461	0.754
	Embedding training mode	0.751	0.742	0.760	0.502	0.785
	Two channel mode	0.765	0.780	0.750	0.530	0.800
K. lactis ($S_3$)	Default mode	0.867	0.894	0.840	0.735	0.903
	Embedding training mode	0.857	0.872	0.842	0.714	0.891
	Two channel mode	0.811	0.824	0.797	0.622	0.852
P. pastoris ($S_4$)	Default mode	0.933	0.946	0.921	0.866	0.968
	Embedding training mode	0.956	0.964	0.948	0.912	0.972
	Two channel mode	0.949	0.964	0.933	0.898	0.972