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Fig. 1 | BMC Bioinformatics

Fig. 1

From: A representation and deep learning model for annotating ubiquitylation sentences stating E3 ligase - substrate interaction

Fig. 1

Model construction process. Five representation methods are applied for a E3-interaction sentence information, and they generated 5 vectors. Then Principal Component Analysis and Normalization are applied to reduce the dimension of each vector to 100, and finally a 500-dimension vector is formed. The 500-dimension vector is input into LSTM-based neural network for encoding, and the final encoding vector is input into the fully connected layer. The fully connected layer processes the vector and allocates class label for this sentence

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BMC Bioinformatics

ISSN: 1471-2105

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