A new statistical workflow (R-packages based) to investigate associations between one variable of interest and the metabolome.

ABSTRACT:

Introduction

In metabolomics, the investigation of associations between the metabolome and one trait of interest is a key research question. However, statistical analyses of such associations are often challenging. Statistical tools enabling resilient verification and clear presentation are therefore highly desired.

Objectives

Our aim is to provide a contribution for statistical analysis of metabolomics data, offering a widely applicable open-source statistical workflow, which considers the intrinsic complexity of metabolomics data.

Methods

We combined selected R packages tailored for all properties of heterogeneous metabolomics datasets, where metabolite parameters typically (i) are analyzed in different matrices, (ii) are measured on different analytical platforms w

SUBMITTER: Ferrario PG 

PROVIDER: S-EPMC10689553 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature