Skip to main content

Table 1 AUROC scores of RGloVe and GloVe under different sliding windows sizes based on benchmark datasets

From: EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction

Modification type

Encoding

Window sizes = 8

Window sizes = 15

Window sizes = 30

Window sizes = 60

m1A

RGloVe

0.9283

0.9317

0.9377

0.9315

GloVe

0.9282

0.9193

0.9305

0.9185

m6A

RGloVe

0.8414

0.8415

0.8432

0.8407

GloVe

0.8399

0.8420

0.8414

0.8372

  1. The bolded values represent the best results