Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data.

Published

Journal Article

SUMMARY: Non-targeted metabolomics technologies often yield data in which abundance for any given metabolite is observed and quantified for some samples and reported as missing for other samples. Apparent missingness can be due to true absence of the metabolite in the sample or presence at a level below detectability. Mixture-model analysis can formally account for metabolite 'missingness' due to absence or undetectability, but software for this type of analysis in the high-throughput setting is limited. The R package metabomxtr has been developed to facilitate mixture-model analysis of non-targeted metabolomics data in which only a portion of samples have quantifiable abundance for certain metabolites. AVAILABILITY AND IMPLEMENTATION: metabomxtr is available through Bioconductor. It is released under the GPL-2 license. CONTACT: dscholtens@northwestern.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Full Text

Duke Authors

Cited Authors

  • Nodzenski, M; Muehlbauer, MJ; Bain, JR; Reisetter, AC; Lowe, WL; Scholtens, DM

Published Date

  • November 15, 2014

Published In

Volume / Issue

  • 30 / 22

Start / End Page

  • 3287 - 3288

PubMed ID

  • 25075114

Pubmed Central ID

  • 25075114

Electronic International Standard Serial Number (EISSN)

  • 1367-4811

Digital Object Identifier (DOI)

  • 10.1093/bioinformatics/btu509

Language

  • eng

Conference Location

  • England