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, , , , , 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.
Files
Institutions
- BRIC-National Agri-Food and Biomanufacturing InstitutePunjab, Mohali
Categories
Machine Learning, Data Fusion