To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("PAPi")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.14
The Pathway Activity Profiling - PAPi - is an R package for predicting the activity of metabolic pathways based solely on a metabolomics data set containing a list of metabolites identified and their respective abundances in different biological samples. PAPi generates hypothesis that improves the final biological interpretation. See Aggio, R.B.M; Ruggiero, K. and Villas-Boas, S.G. (2010) - Pathway Activity Profiling (PAPi): from metabolite profile to metabolic pathway activity. Bioinformatics.
Author: Raphael Aggio
Maintainer: Raphael Aggio <raphael.aggio at gmail.com>
Citation (from within R,
enter citation("PAPi")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("PAPi")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PAPi")
R Script | Applying PAPi | |
PAPi.pdf | ||
Reference Manual |
biocViews | MassSpectrometry, Metabolomics, Software |
Version | 1.4.0 |
In Bioconductor since | BioC 2.12 (R-3.0) |
License | GPL(>= 2) |
Depends | R (>= 2.15.2), svDialogs, KEGGREST |
Imports | |
Suggests | |
System Requirements | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me |
Follow Installation instructions to use this package in your R session.
Package Source | PAPi_1.4.0.tar.gz |
Windows Binary | PAPi_1.4.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | PAPi_1.4.0.tgz |
Mac OS X 10.9 (Mavericks) | PAPi_1.4.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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