Convolutional neural networks for classification of alignments of non-coding RNA sequences

Motivation The convolutional neural network (CNN) has been applied to the classification problem of DNA sequences, with the additional purpose of motif discovery. The training of CNNs with distributed representations of four nucleotides has successfully derived position weight matrices on the learned kernels that corresponded to sequence motifs such as protein-binding sites. Results We propose a novel application of CNNs to classification of...