Article

A new pipeline for cross-validation fold-aware machine learning prediction of clinical outcomes addresses hidden data-leakage in omics based ‘predictors’

2026-03-16

Abstract excerpt

<h4>Motivation</h4> Machine learning (ML) approaches are increasingly applied to high-dimensional biological data in which features are often dataset-dependent. In many omics workflows, features are computed using information derived from the entire dataset, such as correlations between variables, clustering structures, or enrichment scores. We refer to these as global dataset features , defined as features whos...

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Literature Corpus work: b3f7351a-ef00-54b2-98f2-6f3841877e62
DOI: 10.64898/2026.03.12.711429

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