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Fig. 4 | BMC Bioinformatics

Fig. 4

From: Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network

Fig. 4

Deep neural network-based methods for predicting EPIs. a SEPT architecture. SEPT uses the feature extractor to learn EPIs-related features from the mixed cell line data, meanwhile the domain discriminator with the transfer learning mechanism is adopted to remove the cell-line-specific features and retain the features independent of cell line. EPI label predictor identifies the EPIs in new cell line based on the learned features. b Previous model trains a model on specific cell line data, in which the training and test data are both from same cell line. c Mixed cell line data are used to train a general model for predicting EPIs in a new cell line

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