Metabomxtr statistics

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Metabomxtr specifications

Information


Unique identifier OMICS_05282
Name Metabomxtr
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 2.0
Computer skills Advanced
Stability No
Maintained No

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Publication for Metabomxtr

Metabomxtr in publications

 (3)
PMCID: 5499862
PMID: 28520864
DOI: 10.1093/gigascience/gix037

[…] statistics of differential expression and abundance of omics datasets, and kernel machine approach for differential expression analysis of mass spectrometry–based metabolomics data (kmmda) [] and metabomxtr [], which deal with the troublesome issue of missing metabolite values, the former through a kernel-based score test and the latter through mixed-model analysis. similarly, peakanova [] […]

PMCID: 5290663
PMID: 28153035
DOI: 10.1186/s12859-017-1501-7

[…] different qc pools are reflective of different types of analytical samples of interest, these location shifts can be applied to analytical data if desired. mixnorm functionality is available in the metabomxtr r package (devel) [] at http://www.bioconductor.org/ []., normalization methods compared to mixnorm in this study are described briefly below, with more lengthy descriptions and a table […]

PMCID: 4915585
PMID: 27207545
DOI: 10.2337/db15-1748

[…] of equal size were run over 50 consecutive days., gc/ms data were normalized to control technical variability attributable to batch and run order by using a mixture model approach in the r package metabomxtr (). the mixture model can be viewed as a combination of a linear and logistic regression model, with the linear portion modeling quantifiable metabolite abundance and the logistic portion […]


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Metabomxtr institution(s)
Department of Preventive Medicine, Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Sarah W Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute and Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University Medical Center, Durham, NC, USA; Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

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