MoAGL-SA: a multi-omics adaptive integration method with graph learning and self attention for cancer subtype classification

Abstract excerpt

BACKGROUND: The integration of multi-omics data through deep learning has greatly improved cancer subtype classification, particularly in feature learning and multi-omics data integration. However, key challenges remain in embedding sample structure information into the feature space and designing flexible integration strategies. RESULTS: We propose MoAGL-SA, an adaptive multi-omics integration method based on...

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