arXiv (All)
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engGNN: A Dual-Graph Neural Network for Omics-Based Disease Classification and Feature Selection
Omics data, such as transcriptomics, proteomics, and metabolomics, provide critical insights into disease mechanisms and clinical outcomes. However, their high dimensionality, small sample sizes, and intricate biological networks pose major challenges for reliable prediction and meaningful interpret
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