FusDRM-m5C: a hybrid model for accurate prediction of 5-methylcytosine modification sites based on feature fusion and attention mechanism

The proposed FusDRM-m5C model demonstrates highly accurate and robust prediction of m5C sites, comparing favorably with existing methods. Its architecture effectively integrates diverse biological features through distinct processing pathways fused via attention, offering a powerful tool for m5C identification.