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Table 1 Prediction accuracy using various features and some combinations, with the AUC scores of different models shown in the table (TAD–Lactuca_RF represent Random Forests Model and TAD–Lactuca_MLP represents Multi-Layer Perceptron, the details of them are introduced at section 3.2.3.)

From: A computational method to predict topologically associating domain boundaries combining histone Marks and sequence information

MethodsFeatures
ALLCTCF+HistonesCTCFHistones3-Mer
HubPredictor0. 7740.703
TAD–Lactuca_RF0.8670. 8170. 7540. 7730.636
TAD–Lactuca_MLP0.8120. 8100. 7520. 7560.592
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