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 3.11 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see PAPi.
Bioconductor version: Release (3.11)
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 (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("PAPi")
For older versions of R, please refer to the appropriate Bioconductor release.
Reference Manual |
biocViews | ImmunoOncology, MassSpectrometry, Metabolomics, Software |
Version | 1.28.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (7.5 years) |
License | GPL(>= 2) |
Depends | R (>= 2.15.2), svDialogs, KEGGREST |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
macOS 10.13 (High Sierra) | |
Source Repository | git clone https://git.bioconductor.org/packages/PAPi |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PAPi |
Package Short Url | https://bioconductor.org/packages/PAPi/ |
Package Downloads Report | Download Stats |
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