Table 3.

Comparison of results from 10-fold cross-validation for advanced methods

Method	Acc	Sen	Spe	Pre	MCC	AUC	AUPRC
MGCNSS	0.9016	0.8916	0.8537	0.8413	0.8237	0.9273	0.8973
DGAMDA	0.8937	0.9053	0.8457	0.8657	0.8352	0.9516	0.9327
AMHMDA	0.8514	0.8562	0.8536	0.8642	0.8249	0.9218	0.9371
MSF-CNN	0.8276	0.8317	0.8341	0.8169	0.6935	0.8952	0.9015
CMV-GLA (Ours)	0.9506	0.9882	0.9132	0.9194	0.8589	0.9662	0.9431

Bold values indicate the best performance among all compared methods for each metric