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This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see metaX.

An R package for metabolomic data analysis

Bioconductor version: 3.3

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.

Author: Bo Wen <wenbo at>

Maintainer: Bo Wen <wenbo at>

Citation (from within R, enter citation("metaX")):


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PDF R Script metaX tutorial
PDF   Reference Manual
Text   NEWS


biocViews MassSpectrometry, Metabolomics, QualityControl, Software
Version 1.4.2
In Bioconductor since BioC 3.2 (R-3.2) (1 year)
License LGPL-2
Depends R (>= 3.2.0), VennDiagram, pROC, SSPA, methods
Imports Nozzle.R1, ggplot2, parallel, pcaMethods, reshape2, plyr, BBmisc, mixOmics, preprocessCore, vsn, pls, impute, missForest, doParallel, DiscriMiner, xcms, ape, scatterplot3d, pheatmap, bootstrap, boot, caret, dplyr, stringr, RColorBrewer, DiffCorr, RCurl, lattice, faahKO, data.table, CAMERA, igraph, tidyr, scales
Suggests knitr, BiocStyle, R.utils, RUnit, BiocGenerics
Depends On Me
Imports Me
Suggests Me
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