Open access
Aug 2026
Structure-aware deep learning enhances m6A prediction and reveals cell type-associated RNA structural signatures
It is demonstrated that sequence and structure provide complementary predictive information, and that sites with greater prediction sensitivity to structural perturbation exhibit distinct local structural profiles between cell lines, and provides a multifeature deep learning framework for accurate and interpretable structure-aware epitranscriptomic prediction.
Ming-Ze Sun, Di Zhang, Zhi-Yuan Li et al.
· PLoS Computational Biology · 0 citations