Raw data for Cross-validation pooling artifacts in graph-based metabolite-disease link prediction: A leave-one-disease-out audit

Published: 23 July 2026| Version 1 | DOI: 10.17632/5fb6wmbp4y.1
Contributors:
Abhilasha Sharma,
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Description

This dataset contains the raw, unprocessed source files utilized in our methodological audit of Metabolite-Disease Association (MDA) prediction models. It serves as the foundational data for our study, which introduces a fold-scoped, leakage-audited evaluation framework for graph-based link prediction in highly class-imbalanced settings.

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Categories

Machine Learning, Data Fusion

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