README.md
In XikunHan/metabolomicsR: Tools for Metabolomics Data
metabolomicsR
Tools to process, analyze, and visualize metabolomic data.
Installation
| Type | Command |
|-------------|-----------------------------------------------------|
| Development | remotes::install_github("XikunHan/metabolomicsR") |
Getting started
metabolomicsR is a streamlined R package to preprocess,
analyze, and visualize metabolomic data. We included a set of functions
for sample and metabolite quality control, outlier detection, missing
value imputation, dimensional reduction, normalization, data
integration, regression analysis, annotation, enrichment analysis, and
visualization of data and results. The metabolomicsR is
designed to be a comprehensive R package that can be easily used by
researchers with basic R programming skills. The framework designed here
is also versatile and extensible to various methods and metabolomic
platforms.
Seamless workflow to preprocess, analyze, and visualize metabolomics data in metabolomicsR 
How to cite metabolomicsR
Han, Xikun, and Liming Liang. 2022. “metabolomicsR: A Streamlined
Workflow to Analyze Metabolomic Data in R.” Bioinformatics Advances 2
(1): vbac067. https://doi.org/10.1093/bioadv/vbac067
Contact:
Xikun Han maintains this package.
XikunHan/metabolomicsR documentation built on Oct. 14, 2024, 3:18 p.m.
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.
metabolomicsR
Tools to process, analyze, and visualize metabolomic data.
Installation
| Type | Command |
|-------------|-----------------------------------------------------|
| Development | remotes::install_github("XikunHan/metabolomicsR") |
Getting started
metabolomicsR is a streamlined R package to preprocess, analyze, and visualize metabolomic data. We included a set of functions for sample and metabolite quality control, outlier detection, missing value imputation, dimensional reduction, normalization, data integration, regression analysis, annotation, enrichment analysis, and visualization of data and results. The metabolomicsR is designed to be a comprehensive R package that can be easily used by researchers with basic R programming skills. The framework designed here is also versatile and extensible to various methods and metabolomic platforms.
Seamless workflow to preprocess, analyze, and visualize metabolomics data in metabolomicsR
How to cite metabolomicsR
Han, Xikun, and Liming Liang. 2022. “metabolomicsR: A Streamlined Workflow to Analyze Metabolomic Data in R.” Bioinformatics Advances 2 (1): vbac067. https://doi.org/10.1093/bioadv/vbac067
Contact:
Xikun Han maintains this package.
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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