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.
|Author||Xikun Han [cre, aut]|
|Bioconductor views||MassSpectrometry Metabolomics Normalization QualityControl Regression Software|
|Maintainer||Xikun Han <email@example.com>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.