Open access
Jul 2026
MFCAMNet: predicting miRNA-disease associations by multi-feature cascade attention mechanism network
This work proposes MFCAMNet, a Multi-Feature fusion and Cross-Self-Attention model for MiRNA–Disease association prediction, which employs element-level addition, element-level multiplication, and concatenation operations to generate miRNA-disease pair features with rich information.
Yuanxing Wang, Chen Yang, Yucheng Zhang
· BMC Bioinformatics · 0 citations