DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data
The DNEA R package is a more flexible and powerful implementation of our previously published software tool, Filigree. The modular structure of the package, along with the parallel processing framework built into the most computationally extensive steps of the algorithm, make it a powerful tool for the analysis of large and complex metabolomics datasets.
Authors
- Alla Karnovsky (ORCID: https://orcid.org/0000-0001-7388-8520)
- George Michailidis (ORCID: https://orcid.org/0000-0002-3676-1739)
- Gayatri Iyer (ORCID: https://orcid.org/0000-0002-8100-0832)
- Marci D. Brandenburg (ORCID: https://orcid.org/0000-0003-1157-5566)
- Christopher Patsalis (ORCID: https://orcid.org/0009-0003-4585-0017)
Institutions
- University of Michigan (US)
- University of Florida (US)
- A. Alfred Taubman Health Care Center (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12859-024-05994-1
- Citations
- 2
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.47
Funders
- National Institutes of Health