metaX: An R package for metabolomic data analysis

The package provides a integrated pipeline for mass spectrometry- based metabolomic data analysis. It includes the stages peak detection, data preprocessing, normalization, missing value imputation, univariate statistical analysis, multivariate statistical analysis such as PCA and PLS-DA, metabolite identification, pathway analysis, power analysis, feature selection and modeling, data quality assessment.

Getting started

Package details

AuthorBo Wen <>
MaintainerBo Wen <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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metaX documentation built on Oct. 5, 2016, 4:41 a.m.