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Table 1 The numbers of positive and negative samples for each species in the training and test datasets

From: PlantNh-Kcr: a deep learning model for predicting non-histone crotonylation sites in plants

Species

Training set

Test set

Positive

Negative

Positive

Negative

Wheat

2484

7585

1066

3252

Tabacum

820

2524

352

1082

Rice

662

3486

284

1495

Peanut

2452

10,675

1051

4575

Papaya

2226

8200

955

3515

Total samples

8644

32,470

3708

13,919