To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("flagme")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.1)
Fragment-level analysis of gas chromatography - mass spectrometry metabolomics data
Author: Mark Robinson <mark.robinson at imls.uzh.ch>, Riccardo Romoli <riccardo.romoli at unifi.it>
Maintainer: Mark Robinson <mark.robinson at imls.uzh.ch>, Riccardo Romoli <riccardo.romoli at unifi.it>
Citation (from within R,
enter citation("flagme")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("flagme")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("flagme")
R Script | Using flagme -- Fragment-level analysis of GCMS-based metabolomics data | |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, MassSpectrometry, Software |
Version | 1.24.0 |
In Bioconductor since | BioC 2.4 (R-2.9) (6.5 years) |
License | LGPL (>= 2) |
Depends | gcspikelite, xcms, CAMERA |
Imports | gplots, graphics, MASS, methods, SparseM, stats, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | flagme_1.24.0.tar.gz |
Windows Binary | flagme_1.24.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | flagme_1.24.0.tgz |
Mac OS X 10.9 (Mavericks) | flagme_1.24.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/flagme/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/flagme/ |
Package Downloads Report | Download Stats |
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