Convolutional neural networks for classification of alignments of non-coding RNA sequences.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Jul 1, 2018
Abstract
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.