The selected metabolites exhibited highly significant differences between gastric cancer patients and healthy controls, with p -values consistently below the 0.05 threshold, supporting their discriminatory power.
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WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics data.
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