August 3, 2025Open Access

MACGA: Multi-scale Adaptive Convolution with Graph Attention for LncRNA–Disease Association Prediction

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Neural network framework predicts lncRNA-disease associations accurately, highlighting implications for precision medicine.

MACGA improves lncRNA-disease prediction accuracy over existing methods.
The framework combines graph attention and adaptive convolution to capture complex relationships.
Five-fold cross-validation showed AUC=0.9463 and AUPR=0.4119, outperforming state-of-the-art models.
Results suggest potential for MACGA in drug repositioning through lncRNA-bridging strategies.

Li et al. (2025) studied this question.

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August 3, 2025Open Access

View Full Paper

Ask AI

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Authors

Neural network framework predicts lncRNA-disease associations accurately, highlighting implications for precision medicine.

MACGA improves lncRNA-disease prediction accuracy over existing methods.
The framework combines graph attention and adaptive convolution to capture complex relationships.
Five-fold cross-validation showed AUC=0.9463 and AUPR=0.4119, outperforming state-of-the-art models.
Results suggest potential for MACGA in drug repositioning through lncRNA-bridging strategies.

Li et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark