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UMCA-Net: Uncertainty-aware multi-stage cross-attention for cost-aware multi-omics data classification
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DOI：10.1016/j.compbiomed.2026.111860.png)
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Abstract
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• Progressive multi-omics integration with uncertainty quantification improves fusion stability. • Introduces a cross-attention mechanism to capture synergistic correlations across diverse omics modalities. • Robust to missing modalities while identifying ambiguous samples through uncertainty estimation. • Validated by extensive grid search, scaling law analysis, and consistency evaluation.
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