An introduction to the metabolomicsR

In metabolomicsR: Tools for Metabolomics Data

library(BiocStyle)
knitr::opts_chunk$set(warning=FALSE, error=FALSE, message=FALSE)

{metabolomicsR}: Tools to process, analyze, and visualize metabolomic data.

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, 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 is extensible to various methods and metabolomic platforms. Here, we demonstrate the step-by-step use of the main functions from this package.

Figure: Seamless workflow to preprocess, analyze, and visualize metabolomic data in metabolomicsR

Installation

| Type | Command | |-------------|-----------------------------------------------------| | Development | remotes::install_github("XikunHan/metabolomicsR") |

Workflow

To demonstrate the package, we have presented a step-by-step tutorial at GitHub.

metabolomicsR documentation built on April 29, 2022, 9:05 a.m.