Article

Analyzing associations and higher-order effects in multi-omics data with double machine learning

2025-12-08

Abstract excerpt

<h4>Motivation</h4> Integrative omics analyses enhance our understanding of disease mechanisms and biomarkers by investigating relationships among traits, omics measurements, genetic variants, and epidemiological factors. Statistically, these analyses are challenging and require robust, flexible methodologies due to high dimensionality, non-standard data distributions, and potentially complex, non-linear confound...

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Literature Corpus work: 72116230-e5db-575b-bcd2-7995ce8ceb1b
DOI: 10.64898/2025.12.04.691622

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