DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites.

ABSTRACT: DNA N4-methylcytosine (4mC) is an important epigenetic modification that plays a vital role in regulating DNA replication and expression. However, it is challenging to detect 4mC sites through experimental methods, which are time-consuming and costly. Thus, computational tools that can identify 4mC sites would be very useful for understanding the mechanism of this important type of DNA modification. Several machine learning-based 4mC predictors have been proposed in the past 3 years, although their performance is unsatisfactory. Deep learning is a promising technique for the development of more accurate 4mC site predictions. In this work, we propose a deep learning-based approach, called DeepTorrent, for improved prediction of 4mC sites from DNA sequences. It combines four different featur

SUBMITTER: Liu Q 

PROVIDER: S-EPMC8599298 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature