sacurine.df: Sacurine data from ropls
In Mystilivia/SDjoygret: Testing R Package
Description
Usage
Format
Source
References
Examples
Description
Urine samples from 183 human adults were analyzed by liquid chromatography coupled to high-resolution
mass spectrometry (LTQ Orbitrap) in the negative ionization mode. A total of 109 metabolites were
identified or annotated at the MSI level 1 or 2. After retention time alignment with XCMS, peaks were
integrated with Quan Browser. After signal drift and batch effect correction of intensities, each urine
profile was normalized to the osmolality of the sample. Finally, the data were log10 transformed.
Usage
1
Format
A dlist : three levels list of data.frame (Datamatrix, SampleMetadata, VariableMetadata)
Source
From ropls package, data : sacurine
References
Thevenot E.A., Roux A., Xu Y., Ezan E. and Junot C. (2015). Analysis of the human adult urinary
metabolome variations with age, body mass index and gender by implementing a comprehensive workflow for
univariate and OPLS statistical analyses. Journal of Proteome Research, DOI: 10.1021/acs.jproteome.5b00354
Examples
1
Mystilivia/SDjoygret documentation built on May 7, 2019, 5:17 p.m.
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Description Usage Format Source References Examples
Description
Urine samples from 183 human adults were analyzed by liquid chromatography coupled to high-resolution mass spectrometry (LTQ Orbitrap) in the negative ionization mode. A total of 109 metabolites were identified or annotated at the MSI level 1 or 2. After retention time alignment with XCMS, peaks were integrated with Quan Browser. After signal drift and batch effect correction of intensities, each urine profile was normalized to the osmolality of the sample. Finally, the data were log10 transformed.
Usage
1 |
Format
A dlist : three levels list of data.frame (Datamatrix, SampleMetadata, VariableMetadata)
Source
From ropls package, data : sacurine
References
Thevenot E.A., Roux A., Xu Y., Ezan E. and Junot C. (2015). Analysis of the human adult urinary metabolome variations with age, body mass index and gender by implementing a comprehensive workflow for univariate and OPLS statistical analyses. Journal of Proteome Research, DOI: 10.1021/acs.jproteome.5b00354
Examples
1 |
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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