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

Publication ,  Journal Article
Nodzenski, M; Muehlbauer, MJ; Bain, JR; Reisetter, AC; Lowe, WL; Scholtens, DM
Published in: Bioinformatics
November 15, 2014

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.

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Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

November 15, 2014

Volume

30

Issue

22

Start / End Page

3287 / 3288

Location

England

Related Subject Headings

  • Software
  • Pregnancy
  • Models, Statistical
  • Metabolomics
  • Humans
  • Female
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences
 

Citation

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Nodzenski, M., Muehlbauer, M. J., Bain, J. R., Reisetter, A. C., Lowe, W. L., & Scholtens, D. M. (2014). Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data. Bioinformatics, 30(22), 3287–3288. https://doi.org/10.1093/bioinformatics/btu509
Nodzenski, Michael, Michael J. Muehlbauer, James R. Bain, Anna C. Reisetter, William L. Lowe, and Denise M. Scholtens. “Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data.Bioinformatics 30, no. 22 (November 15, 2014): 3287–88. https://doi.org/10.1093/bioinformatics/btu509.
Nodzenski M, Muehlbauer MJ, Bain JR, Reisetter AC, Lowe WL, Scholtens DM. Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data. Bioinformatics. 2014 Nov 15;30(22):3287–8.
Nodzenski, Michael, et al. “Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data.Bioinformatics, vol. 30, no. 22, Nov. 2014, pp. 3287–88. Pubmed, doi:10.1093/bioinformatics/btu509.
Nodzenski M, Muehlbauer MJ, Bain JR, Reisetter AC, Lowe WL, Scholtens DM. Metabomxtr: an R package for mixture-model analysis of non-targeted metabolomics data. Bioinformatics. 2014 Nov 15;30(22):3287–3288.

Published In

Bioinformatics

DOI

EISSN

1367-4811

Publication Date

November 15, 2014

Volume

30

Issue

22

Start / End Page

3287 / 3288

Location

England

Related Subject Headings

  • Software
  • Pregnancy
  • Models, Statistical
  • Metabolomics
  • Humans
  • Female
  • Bioinformatics
  • 49 Mathematical sciences
  • 46 Information and computing sciences
  • 31 Biological sciences