## 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.

### 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.