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Fig. 5 | BMC Bioinformatics

Fig. 5

From: DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins

Fig. 5

a Flow chart of the CNN deep learning model. b An example of convolution-pooling structure. a Input a fragment and encode; construct an embedding layer; build multi-convolution-pooling layers; construct fully connected layers; and then get the output. b Use different filters with different sizes to get a series of feature maps; and then use a max-pooling and concatenating together to form a feature vector. Finally, the softmax function regularization is used to get the classification

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