Lee_2019: Example data for 'MsQuality': data set of Lee et al. (2019)
In tnaake/MsQuality: MsQuality - Quality metric calculation from Spectra and MsExperiment objects
Lee_2019 R Documentation
Example data for MsQuality: data set of Lee et al. (2019)
Description
The data set of Lee et al. (2019) contains metabolite information measured
by reverse phase liquid chromatography (RPLC) coupled to mass spectrometry
and hydrophilic interaction liquid chromatography (HILIC) coupled to mass
spectrometry (file 'STables - rev1.xlsx' in the Supplementary Information).
It will be used as an example data set in the vignette to
show the functionality of the packages. The file contains Spectra and
MsExperiment objects that store the mass spectrometry data.
Format
Spectra and MsExperiment
Value
Spectra and MsExperiment objects
Author(s)
Thomas Naake, thomasnaake@googlemail.com
Source
See the file Lee2019-data-source.R in scripts for the
source code how sps_hilic and sps_rplc were created.
References
Lee et al. (2019). A large-scale analysis of targeted metabolomics data from
heterogeneous biological samples provides insights into metabolite dynamics.
Metabolomics, 103, doi: 10.1007/s11306-019-1564-8.
tnaake/MsQuality documentation built on Oct. 31, 2024, 2:41 a.m.
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| Lee_2019 | R Documentation |
Example data for MsQuality: data set of Lee et al. (2019)
Description
The data set of Lee et al. (2019) contains metabolite information measured by reverse phase liquid chromatography (RPLC) coupled to mass spectrometry and hydrophilic interaction liquid chromatography (HILIC) coupled to mass spectrometry (file 'STables - rev1.xlsx' in the Supplementary Information).
It will be used as an example data set in the vignette to
show the functionality of the packages. The file contains Spectra and
MsExperiment objects that store the mass spectrometry data.
Format
Spectra and MsExperiment
Value
Spectra and MsExperiment objects
Author(s)
Thomas Naake, thomasnaake@googlemail.com
Source
See the file Lee2019-data-source.R in scripts for the
source code how sps_hilic and sps_rplc were created.
References
Lee et al. (2019). A large-scale analysis of targeted metabolomics data from heterogeneous biological samples provides insights into metabolite dynamics. Metabolomics, 103, doi: 10.1007/s11306-019-1564-8.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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