Fig. 2
From: A gene regulatory network inference model based on pseudo-siamese network
PSGRN framework. PSGRN aim to evaluate the relationships between TFs and target genes using a pseudo-Siamese network consisting of three steps. This model extracts feature matrices from each TF and target gene according to preprocessed datasets. The GRU and DenseNet are applied to obtain hidden time and spatial information. Finally, the regulatory and non-regulatory gene pairs are distinguished, and the prediction results are outputted