XikunHan/metabolomicsR: Tools for Metabolomics Data

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.

Getting started

Package details

Bioconductor views MassSpectrometry Metabolomics Normalization QualityControl Regression Software
MaintainerXikun Han <hanxikun2017@gmail.com>
URL https://github.com/XikunHan/metabolomicsR
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
XikunHan/metabolomicsR documentation built on Oct. 1, 2022, 5:12 p.m.