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CMGL: Confidence-guided Multi-omics Graph Learning for Cancer Subtype Classification
Motivation: Multi-omics integration can improve cancer subtyping, but modality informativeness and noise vary across cancer types and patients. Most graph methods for multi-omics data learn modality contributions within the downstream classification objective, leaving predictive reliability for each
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