study2018: Metabolomics data from ME/CFS patients and healthy controls.
In AslaugL/thesisToolsOmics: Tools for analysing and plotting metabolomics data.
study2018 R Documentation
Metabolomics data from ME/CFS patients and healthy controls.
Description
Taken from Prospective Biomarkers from Plasma Metabolomics of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Implicate Redox Imbalance in Disease Symptomatology. Metabolites. 2018 Dec 6;8(4):90. doi: 10.3390/metabo8040090.
Usage
data(study2018)
Format
A tibble with 40239 rows and 6 variables.
feature. Name of metabolites.
\item feature_anno. What type of feature is it?
\item SUB PATHWAY. What pathway does this feature belong to?
\item sample_id. Individual sample id's forr all participants in the study.
\item value. Concentration value of the feature for the sample.
\item group. Shows if samples are in the ME/CFS or control group
AslaugL/thesisToolsOmics documentation built on April 3, 2022, 8:16 p.m.
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| study2018 | R Documentation |
Metabolomics data from ME/CFS patients and healthy controls.
Description
Taken from Prospective Biomarkers from Plasma Metabolomics of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Implicate Redox Imbalance in Disease Symptomatology. Metabolites. 2018 Dec 6;8(4):90. doi: 10.3390/metabo8040090.
Usage
data(study2018)
Format
A tibble with 40239 rows and 6 variables.
feature. Name of metabolites. \item feature_anno. What type of feature is it? \item SUB PATHWAY. What pathway does this feature belong to? \item sample_id. Individual sample id's forr all participants in the study. \item value. Concentration value of the feature for the sample. \item group. Shows if samples are in the ME/CFS or control group
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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