Back to search

Article

FeatureMSEA: Metabolic Feature-based Metabolite Set Enrichment Analysis

2026-06-19

Abstract excerpt

Liquid chromatography-mass spectrometry (LC-MS) untargeted metabolomics detects thousands of metabolic features, but converting these chemical signals into metabolite set-level biological knowledge remains challenging. This is because most features lack unambiguous metabolite identities. Conventional metabolite set enrichment analysis (MSEA) generally requires identified metabolites and metabolite-level ranked inp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
31826e97-8000-5cd5-aa3a-9955afa38e38
DOI
10.64898/2026.06.15.732313
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
FeatureMSEA: Metabolic Feature-based Metabolite Set Enrichment AnalysisDOI 10.64898/2026.06.15.732313
Select a neighboring publication to make it the new centre.