Abstract
N6-methyladenosine (m6A), the most prevalent internal mRNA modification in higher eukaryotes, plays diverse roles in cellular regulation. By incorporating both sequence- and genome-derived features, Fan et al.1 designed a novel Transformer-BiGRU framework that achieves superior performance in computational m6A identification, thus demonstrating the potential of AI in genomic studies.
Original language | English |
---|---|
Article number | 100718 |
Journal | Cell Genomics |
Volume | 4 |
Issue number | 12 |
DOIs |
|
Publication status | Published - 11 Dec 2024 |