BERT-5mC: an interpretable model for predicting 5-methylcytosine sites of DNA based on BERT.

ABSTRACT: DNA 5-methylcytosine (5mC) is widely present in multicellular eukaryotes, which plays important roles in various developmental and physiological processes and a wide range of human diseases. Thus, it is essential to accurately detect the 5mC sites. Although current sequencing technologies can map genome-wide 5mC sites, these experimental methods are both costly and time-consuming. To achieve a fast and accurate prediction of 5mC sites, we propose a new computational approach, BERT-5mC. First, we pre-trained a domain-specific BERT (bidirectional encoder representations from transformers) model by using human promoter sequences as language corpus. BERT is a deep two-way language representation model based on Transformer. Second, we fine-tuned the domain-specific BERT model based on th

SUBMITTER: Wang S 

PROVIDER: S-EPMC10712318 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature