Table 2. Comparison of PRmePRed with other prediction methods.

Method (yr. developed)	Algorithm	MCC	Accuracy	Sensitivity	Specificity
MeMo (Chen et al. 2006)[26]	SVM	0.462	0.6839	0.3811	0.987
MASA (Shien et al. 2009)[4]	SVM	0.411	0.6503	0.3095	0.991
BPB-PPMS (Shao et al. 2009)[27]	SVM	0.253	0.5601	0.1202	1.000
PMeS (Shi et al. 2012)[12]	SVM	0.159	0.5756	0.4253	0.726
iMethyl-PseAAC (2014)[28]	SVM	0.302	0.5866	0.1768	0.997
PSSMe (Wen et al. 2016) [29]	SVM	0.444	0.7162	0.6003	0.832
MePred-RF (Wei et al. 2017) [30]	RF	0.462	0.6908	0.4095	0.972
PRmePRed (2017)	SVM	0.737	0.8683	0.8709	0.866