Phoenics: a novel statistical approach for longitudinal metabolomic pathway analysis.

ABSTRACT:

Background

Metabolomics describes the metabolic profile of an organism at a given time by the concentrations of its constituent metabolites. When studied over time, metabolite concentrations can help understand the dynamical evolution of a biological process. However, metabolites are involved into sequences of chemical reactions, called metabolic pathways, related to a given biological function. Accounting for these pathways into statistical methods for metabolomic data is thus a relevant way to directly express results in terms of biological functions and to increase their interpretability.

Methods

We propose a new method, phoenics, to perform differential analysis for longitudinal metabolomic data at the pathway level. In short, phoenics proceeds in two steps: First, the m

SUBMITTER: Guilmineau C 

PROVIDER: S-EPMC12001596 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature