DNA motif length prediction method and system based on deep learning

The invention belongs to the technical field of DNA sequence fragment detection, and discloses a DNA motif length prediction method and system based on deep learning, wherein a machine learning modelfor predicting the length of a motif is constructed, and the characteristics of the motif can be automatically learned in an extension matrix containing the motif, so that the length of an unknown motif can be intelligently predicted. According to the invention, conditions for solving the problem using machine learning have been sufficient; with the method, a sufficient training sample for predicting the length of a motif can be constructed by utilizing existing data; machine learning models such as deep learning and the like are rapidly developed in recent years and successfully applied to various fields including bioinformatics, and motif features in an extension matrix can be well learned and motif length prediction can be carried out by utilizing deep learning; and the prediction accuracy of the model provided