To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("metaX")

In most cases, you don't need to download the package archive at all.

metaX

   

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

An R package for metabolomic data analysis

Bioconductor version: 3.2

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 genomics.cn>

Maintainer: Bo Wen <wenbo at genomics.cn>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("metaX")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("metaX")

 

PDF metaX tutorial
PDF   Reference Manual
Text   NEWS

Details

biocViews MassSpectrometry, Metabolomics, QualityControl, Software
Version 1.0.3
In Bioconductor since BioC 3.2 (R-3.2) (0.5 years)
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
LinkingTo
Suggests knitr, BiocStyle, R.utils, RUnit, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source metaX_1.0.3.tar.gz
Windows Binary metaX_1.0.3.zip
Mac OS X 10.6 (Snow Leopard) metaX_1.0.0.tgz
Mac OS X 10.9 (Mavericks) metaX_1.0.3.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/metaX/tree/release-3.2
Package Short Url http://bioconductor.org/packages/metaX/
Package Downloads Report Download Stats

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