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

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...

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Bibliographic Details
Main Authors: Christopher Patsalis, Gayatri Iyer, Marci Brandenburg, Alla Karnovsky, George Michailidis
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Bioinformatics
Subjects:
Network analysis
Pathway analysis
Partial correlation
Metabolomics
Enrichment analysis
Network visualization
Online Access:https://doi.org/10.1186/s12859-024-05994-1
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https://doi.org/10.1186/s12859-024-05994-1

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