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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 · 0 citations

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