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Table 1 The number of miRNA:target pairs in each dataset used in training, validating and testing the proposed approach

From: miTAR: a hybrid deep learning-based approach for predicting miRNA targets

Datasets

Positive pairs

Negative pairs

Training set

Validation set

Test set

DeepMirTar dataset

3908

3850

4964

1241

1552

miRAW dataset

31,660

30,993

40,096

10,025

12,531

MirTarRAW dataseta

13,860

13,860

17,740

4435

5544

DeepMirTarIn datasetb

48

NA

   

miRAWIn datasetb

929

890

   

DeepMirTarLeft datasetc

443

385

   

miRAWLeft datasetc

21,265

20,598

   
  1. Blank box means not applicable. NA represents the data do not exist
  2. aDataset generated by combining the DeepMirTar and the miRAW dataset. Details are in “Methods” section
  3. bIndependent test dataset for evaluating different methods/models
  4. cThe surplus dataset from DeepMirTar and miRAW combining the two datasets. Details are in “Methods” section