Tools to preprocess, analyse, and visualize metabolomics data. We included a set of functions for sample and metabolite quality control, outlier detection, missing value imputation, dimensional reduction, normalization, data integration, regression, metabolite annotation, enrichment analysis, and visualization of data and results. The package 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 versatile and is extensible to other various methods.
Package details 


Author  Xikun Han [cre, aut] 
Bioconductor views  MassSpectrometry Metabolomics Normalization QualityControl Regression Software 
Maintainer  Xikun Han <hanxikun2017@gmail.com> 
License  GPL2 
Version  1.0.0 
URL  https://github.com/XikunHan/metabolomicsR 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

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