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Dataset Information

Comparison of popular enrichment methods for untargeted in vitro metabolomics.


ABSTRACT:

Introduction

Untargeted metabolomics is a popular method by which researchers measure a large portion of the metabolites present in a biological system at once. This approach usually results in complex data sets containing tens to hundreds of thousands of observations which require sophisticated data analysis workflows. To help with the functional interpretation of the data, researchers often rely on enrichment analysis. However, little advice is available on what method to use, and, to the best of our knowledge, there is no comparison of popular approaches available for in vitro data with a focus on toxicological and pharmacological testing.

Objectives

In this study, we compared three popular enrichment analysis approaches-Metabolite Set Enrichment Analysis (MSEA), Mummicho

SUBMITTER: Schermer Y 

PROVIDER: S-EPMC12301278 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature