Fusion_f5C-Pred: a dual-branch feature fusion framework for 5-formylcytosine modification sites prediction

Notably, our model's learned sequence patterns strongly agree with known RNA regulatory motifs identified via MEME, indicating biological interpretability. The proposed framework not only offers a robust computational tool for f5C research but also establishes a transferable architecture for studying other RNA modifications. The source code and datasets are publicly available at: https://github.com/HuiCong123/Fusion_f5C-Pred .