DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning

BMC Bioinformatics

Table 2 Performance metrics for comparison of DeepM6ASeq with other classifiers on the mammalian independent dataset

	Accuracy	F1-score	AUROC	AUPR	MCC
DeepM6ASeq	0.764	0.762	0.844	0.831	0.528
Random forest	0.747	0.756	0.826	0.809	0.494
Logistic regression	0.743	0.736	0.824	0.807	0.487
Support vector machine	0.736	0.732	0.818	0.802	0.472

ISSN: 1471-2105