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Table 6 The fivefold cross-validation performance of different predictors

From: EMDL_m6Am: identifying N6,2′-O-dimethyladenosine sites based on stacking ensemble deep learning

Predictor

Sn

Sp

ACC

MCC

AUC

AUPR

MultiRM*

0.7378

0.6751

0.7065

0.4100

0.7827

0.7777

m6AmPred*

0.7378

0.7209

0.7294

0.4588

0.8085

0.8105

DLm6Am*

0.7921

0.7893

0.7907

0.5814

0.8545

0.8532

EMDL_m6Am

0.8662

0.8894

0.8778

0.7590

0.8778

0.8428

  1. The conclusions were from the previous study, as stated by the asterisk (*) [20]
  2. The best experimental results are shown in bold
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BMC Bioinformatics

ISSN: 1471-2105

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