MetabR statistics

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Citations per year

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Popular tool citations

chevron_left Data normalization Statistical analysis Metabolite quantification chevron_right
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Tool usage distribution map

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Associated diseases

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MetabR specifications

Information


Unique identifier OMICS_06042
Name MetabR
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainer


  • person_outline Brynn H. Voy <>

Publication for MetabR

MetabR in publications

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

[…] with limited sample size. selective paired ion contrast (spica) [] is a tool that aims at extracting relevant information from noisy datasets by analyzing ion pairs instead of individual ions. metabr [] normalizes data using linear mixed models and tests for treatment effects with anova. by contrast, model population analysis–random forests (mpa-rf) [] combines random forests with model […]

PMCID: 4444734
PMID: 26074932
DOI: 10.3389/fpls.2015.00365

[…] identifications with their compound classes were integrated into a sqlite (https://sqlite.org/) database, which is available as supplemental data . for statistical analysis we used the r script “metabr” (ernest et al., ), which calculates the fold-changes and p-values according to tukey's honest significant difference (hsd)., the r package and graphical user interface (gui) “rattle” […]

PMCID: 3503602
PMID: 22938590
DOI: 10.1186/1471-2164-13-441

[…] [,]. statistical analysis of metabolomic data was performed using an analysis tool that we developed specifically for metabolomic data analyses (ernest et al., manuscript in review). the script (metabr), written in the language r, uses linear mixed-effect modeling to normalize metabolomics data containing both fixed- and random-effect confounding variables. the script averages any replicate […]


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MetabR institution(s)
Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN, USA

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