Article

iLipidome: enhancing statistical power and interpretability using hidden biosynthetic interdependencies in the lipidome

2024-05-21

Abstract excerpt

Numerous biological processes and diseases are influenced by lipid composition. Advances in lipidomics are elucidating their roles, but analyzing and interpreting lipidomics data at the systems level remain challenging. To address this, we present iLipidome, a method for analyzing lipidomics data in the context of the lipid biosynthetic network, thus accounting for the interdependence of measured lipids. iLipidome...

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Identifiers and source

Literature Corpus work: 309b29e7-8722-580c-afcb-cbff1be8df54
DOI: 10.1101/2024.05.16.594607

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