Skip to main content
Fig. 8 | BMC Genomics

Fig. 8

From: Discerning novel splice junctions derived from RNA-seq alignment: a deep learning approach

Fig. 8

Visualization of splice junction sequence representation and deep convolutional neural network in DeepSplice. Each sequence is converted into a tensor through one-hot encoding in the pre-processing of the sequence representation. The tensor is fed as original input to the deep convolutional neural network, which contains one input layer, two convolutional layers, one fully connected layer (FCN) and one output layer. The convolutional neural network transforms the nucleotide signal in splice junction sequences to the final label of class

Back to article page