DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data.

ABSTRACT:

Background

Metabolomics is a high-throughput technology that measures small molecule metabolites in cells, tissues or biofluids. Analysis of metabolomics data is a multi-step process that involves data processing, quality control and normalization, followed by statistical and bioinformatics analysis. The latter step often involves pathway analysis to aid biological interpretation of the data. This approach is limited to endogenous metabolites that can be readily mapped to metabolic pathways. An alternative to pathway analysis that can be used for any classes of metabolites, including unknown compounds that are ubiquitous in untargeted metabolomics data, involves defining metabolite-metabolite interactions using experimental data. Our group has developed several network-based method

SUBMITTER: Patsalis C 

PROVIDER: S-EPMC11657348 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature