To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("PAPi")

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

PAPi

 

Predict metabolic pathway activity based on metabolomics data

Bioconductor version: Release (3.1)

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")):

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("PAPi")

Documentation

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

browseVignettes("PAPi")

 

PDF R Script Applying PAPi
PDF PAPi.pdf
PDF   Reference Manual

Details

biocViews MassSpectrometry, Metabolomics, Software
Version 1.8.0
In Bioconductor since BioC 2.12 (R-3.0) (2.5 years)
License GPL(>= 2)
Depends R (>= 2.15.2), svDialogs, KEGGREST
Imports
LinkingTo
Suggests
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 PAPi_1.8.0.tar.gz
Windows Binary PAPi_1.8.0.zip
Mac OS X 10.6 (Snow Leopard) PAPi_1.8.0.tgz
Mac OS X 10.9 (Mavericks) PAPi_1.8.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/PAPi/tree/release-3.1
Package Short Url http://bioconductor.org/packages/PAPi/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center